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repo stringlengths 2 152 ⌀ | file stringlengths 15 239 | code stringlengths 0 58.4M | file_length int64 0 58.4M | avg_line_length float64 0 1.81M | max_line_length int64 0 12.7M | extension_type stringclasses 364
values |
|---|---|---|---|---|---|---|
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/ppo_pendulum.py | #!/usr/bin/env python3
"""This is an example to train a task with PPO algorithm.
Here it creates InvertedDoublePendulum using gym. And uses a PPO with 1M
steps.
Results:
AverageDiscountedReturn: 500
RiseTime: itr 40
"""
import gym
import tensorflow as tf
from garage import wrap_experiment
from garage.envs i... | 2,296 | 27.358025 | 73 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/reps_gym_cartpole.py | #!/usr/bin/env python3
"""This is an example to train a task with REPS algorithm.
Here it runs gym CartPole env with 100 iterations.
Results:
AverageReturn: 100 +/- 40
RiseTime: itr 10 +/- 5
"""
import gym
from garage import wrap_experiment
from garage.envs import GarageEnv
from garage.experiment import Lo... | 1,465 | 26.660377 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/resume_training.py | #!/usr/bin/env python3
"""This is an example to resume training programmatically."""
# pylint: disable=no-value-for-parameter
import click
from garage import wrap_experiment
from garage.experiment import LocalTFRunner
@click.command()
@click.option('--saved_dir',
required=True,
help='Path... | 808 | 25.966667 | 72 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/rl2_ppo_halfcheetah.py | #!/usr/bin/env python3
"""Example script to run RL2 in HalfCheetah."""
# pylint: disable=no-value-for-parameter
import click
from garage import wrap_experiment
from garage.envs.mujoco.half_cheetah_vel_env import HalfCheetahVelEnv
from garage.experiment import LocalTFRunner
from garage.experiment import task_sampler
fr... | 3,326 | 37.686047 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/rl2_ppo_halfcheetah_meta_test.py | #!/usr/bin/env python3
"""Example script to run RL2PPO meta test in HalfCheetah."""
# pylint: disable=no-value-for-parameter
import click
from garage import wrap_experiment
from garage.envs.mujoco.half_cheetah_vel_env import HalfCheetahVelEnv
from garage.experiment import LocalTFRunner
from garage.experiment import ta... | 3,859 | 39.631579 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/rl2_ppo_metaworld_ml10.py | #!/usr/bin/env python3
"""Example script to run RL2 in ML10."""
# pylint: disable=no-value-for-parameter
import click
import metaworld.benchmarks as mwb
from garage import wrap_experiment
from garage.experiment import LocalTFRunner
from garage.experiment import task_sampler
from garage.experiment.deterministic import ... | 3,437 | 37.2 | 74 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/rl2_ppo_metaworld_ml10_meta_test.py | #!/usr/bin/env python3
"""Example script to run RL2 in ML10 with meta-test."""
# pylint: disable=no-value-for-parameter
import click
import metaworld.benchmarks as mwb
from garage import wrap_experiment
from garage.experiment import LocalTFRunner
from garage.experiment import task_sampler
from garage.experiment.determ... | 4,231 | 38.924528 | 74 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/rl2_ppo_metaworld_ml1_push.py | #!/usr/bin/env python3
"""Example script to run RL2 in ML1."""
# pylint: disable=no-value-for-parameter
import click
import metaworld.benchmarks as mwb
from garage import wrap_experiment
from garage.experiment import LocalTFRunner
from garage.experiment import task_sampler
from garage.experiment.deterministic import s... | 3,327 | 37.697674 | 76 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/rl2_ppo_metaworld_ml45.py | #!/usr/bin/env python3
"""Example script to run RL2 in ML45."""
# pylint: disable=no-value-for-parameter, wrong-import-order
import click
import metaworld.benchmarks as mwb
from garage import wrap_experiment
from garage.experiment import LocalTFRunner
from garage.experiment import task_sampler
from garage.experiment.d... | 3,502 | 37.076087 | 74 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/rl2_trpo_halfcheetah.py | #!/usr/bin/env python3
"""Example script to run RL2 in HalfCheetah."""
# pylint: disable=no-value-for-parameter
import click
from garage import wrap_experiment
from garage.envs.mujoco.half_cheetah_vel_env import HalfCheetahVelEnv
from garage.experiment import LocalTFRunner
from garage.experiment import task_sampler
fr... | 3,266 | 38.841463 | 76 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/td3_pendulum.py | #!/usr/bin/env python3
"""This is an example to train a task with TD3 algorithm.
Here, we create a gym environment InvertedDoublePendulum
and use a TD3 with 1M steps.
Results:
AverageReturn: 250
RiseTime: epoch 499
"""
import gym
import tensorflow as tf
from garage import wrap_experiment
from garage.envs imp... | 3,172 | 35.471264 | 72 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/te_ppo_metaworld_ml1_push.py | #!/usr/bin/env python3
"""This is an example to train Task Embedding PPO with PointEnv."""
# pylint: disable=no-value-for-parameter
import click
from metaworld.benchmarks import ML1
import tensorflow as tf
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.envs.multi_env_wrappe... | 4,620 | 33.744361 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/te_ppo_metaworld_mt10.py | #!/usr/bin/env python3
"""This is an example to train Task Embedding PPO with PointEnv."""
# pylint: disable=no-value-for-parameter
import click
from metaworld.benchmarks import MT10
import tensorflow as tf
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.envs.multi_env_wrapp... | 4,837 | 34.313869 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/te_ppo_metaworld_mt50.py | #!/usr/bin/env python3
"""This is an example to train Task Embedding PPO with PointEnv."""
# pylint: disable=no-value-for-parameter
import click
from metaworld.benchmarks import MT50
import tensorflow as tf
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.envs.multi_env_wrapp... | 4,837 | 34.313869 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/te_ppo_point.py | #!/usr/bin/env python3
"""This is an example to train Task Embedding PPO with PointEnv."""
# pylint: disable=no-value-for-parameter
import click
import numpy as np
import tensorflow as tf
from garage import wrap_experiment
from garage.envs import GarageEnv, PointEnv
from garage.envs.multi_env_wrapper import MultiEnvWr... | 5,676 | 31.44 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/trpo_cartpole.py | #!/usr/bin/env python3
"""This is an example to train a task with TRPO algorithm.
Here it runs CartPole-v1 environment with 100 iterations.
Results:
AverageReturn: 100
RiseTime: itr 13
"""
from garage import wrap_experiment
from garage.envs import GarageEnv
from garage.experiment import LocalTFRunner
from gar... | 1,537 | 28.576923 | 72 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/trpo_cartpole_batch_sampler.py | #!/usr/bin/env python3
"""This is an example to train a task with parallel sampling."""
import click
from garage import wrap_experiment
from garage.envs import GarageEnv
from garage.experiment import LocalTFRunner
from garage.experiment.deterministic import set_seed
from garage.np.baselines import LinearFeatureBaselin... | 2,140 | 34.098361 | 75 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/trpo_cartpole_recurrent.py | #!/usr/bin/env python3
"""This is an example to train a task with TRPO algorithm.
It uses an LSTM-based recurrent policy.
Here it runs CartPole-v1 environment with 100 iterations.
Results:
AverageReturn: 100
RiseTime: itr 13
"""
# pylint: disable=no-value-for-parameter
import click
from garage import wrap_e... | 2,240 | 31.955882 | 73 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/trpo_cubecrash.py | #!/usr/bin/env python3
"""This is an example to train a task with TRPO algorithm.
Here it runs CubeCrash-v0 environment with 100 iterations.
"""
import click
import gym
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.experiment import LocalTFRunner
from garage.experiment.de... | 2,245 | 34.09375 | 75 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/trpo_gym_tf_cartpole.py | #!/usr/bin/env python3
"""An example to train a task with TRPO algorithm."""
import gym
from garage import wrap_experiment
from garage.envs import GarageEnv
from garage.experiment import LocalTFRunner
from garage.experiment.deterministic import set_seed
from garage.np.baselines import LinearFeatureBaseline
from garage... | 1,441 | 28.428571 | 72 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/trpo_swimmer.py | #!/usr/bin/env python3
"""An example to train a task with TRPO algorithm."""
import gym
from garage import wrap_experiment
from garage.envs import GarageEnv
from garage.experiment import LocalTFRunner
from garage.experiment.deterministic import set_seed
from garage.np.baselines import LinearFeatureBaseline
from garage... | 1,425 | 30 | 76 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/trpo_swimmer_ray_sampler.py | #!/usr/bin/env python3
"""This is an example to train a task with TRPO algorithm.
Uses Ray sampler instead of on_policy vectorized
sampler.
Here it runs Swimmer-v2 environment with 40 iterations.
"""
import gym
import ray
from garage import wrap_experiment
from garage.envs import GarageEnv
from garage.experiment impo... | 1,969 | 30.269841 | 76 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/trpois_inverted_pendulum.py | #!/usr/bin/env python3
"""Example using TRPO with ISSampler.
Iterations alternate between live and importance sampled iterations.
"""
import gym
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.experiment import LocalTFRunner
from garage.experiment.deterministic import set_s... | 1,617 | 30.115385 | 76 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/vpg_cartpole.py | #!/usr/bin/env python3
"""This is an example to train a task with VPG algorithm.
Here it runs CartPole-v1 environment with 100 iterations.
Results:
AverageReturn: 100
RiseTime: itr 16
"""
from garage import wrap_experiment
from garage.envs import GarageEnv
from garage.experiment import LocalTFRunner
from gara... | 1,568 | 29.173077 | 72 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/tf/vpgis_inverted_pendulum.py | #!/usr/bin/env python3
"""Example using VPG with ISSampler.
Iterations alternate between live and importance sampled iterations.
"""
import gym
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.experiment import LocalTFRunner
from garage.experiment.deterministic import set_se... | 1,583 | 28.333333 | 76 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/ddpg_pendulum.py | #!/usr/bin/env python3
"""This is an example to train a task with DDPG algorithm written in PyTorch.
Here it creates a gym environment InvertedDoublePendulum. And uses a DDPG with
1M steps.
"""
import gym
import torch
from torch.nn import functional as F
from garage import wrap_experiment
from garage.envs import Gar... | 2,496 | 33.205479 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/maml_ppo_half_cheetah_dir.py | #!/usr/bin/env python3
"""This is an example to train MAML-VPG on HalfCheetahDirEnv environment."""
# pylint: disable=no-value-for-parameter
import click
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.envs.mujoco import HalfCheetahDirEnv
from garage.experiment ... | 3,034 | 36.012195 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/maml_trpo_half_cheetah_dir.py | #!/usr/bin/env python3
"""This is an example to train MAML-VPG on HalfCheetahDirEnv environment."""
# pylint: disable=no-value-for-parameter
import click
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.envs.mujoco import HalfCheetahDirEnv
from garage.experiment ... | 3,048 | 36.182927 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/maml_trpo_metaworld_ml10.py | #!/usr/bin/env python3
"""This is an example to train MAML-TRPO on ML10 environment."""
# pylint: disable=no-value-for-parameter
import click
import metaworld.benchmarks as mwb
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.experiment import LocalRunner, MetaEv... | 3,142 | 35.126437 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/maml_trpo_metaworld_ml1_push.py | #!/usr/bin/env python3
"""This is an example to train MAML-TRPO on ML1 Push environment."""
# pylint: disable=no-value-for-parameter
import click
import metaworld.benchmarks as mwb
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.experiment import LocalRunner, Me... | 2,957 | 35.073171 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/maml_trpo_metaworld_ml45.py | #!/usr/bin/env python3
"""This is an example to train MAML-TRPO on ML45 environment."""
# pylint: disable=no-value-for-parameter
import click
import metaworld.benchmarks as mwb
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.experiment import LocalRunner, MetaEv... | 2,908 | 33.630952 | 75 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/maml_vpg_half_cheetah_dir.py | #!/usr/bin/env python3
"""This is an example to train MAML-VPG on HalfCheetahDirEnv environment."""
# pylint: disable=no-value-for-parameter
import click
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.envs.mujoco import HalfCheetahDirEnv
from garage.experiment ... | 3,034 | 36.012195 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/mtppo_metaworld_ml1_push.py | #!/usr/bin/env python3
"""This is an example to train PPO on ML1 Push environment."""
# pylint: disable=no-value-for-parameter
import click
import metaworld.benchmarks as mwb
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.experiment import LocalRunner
from gara... | 2,049 | 32.064516 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/mtppo_metaworld_mt10.py | #!/usr/bin/env python3
"""This is an example to train PPO on MT10 environment."""
# pylint: disable=no-value-for-parameter
import click
import metaworld.benchmarks as mwb
import psutil
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv, MultiEnvWrapper, normalize
from garage.envs.multi_e... | 2,630 | 34.554054 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/mtppo_metaworld_mt50.py | #!/usr/bin/env python3
"""This is an example to train PPO on MT50 environment."""
# pylint: disable=no-value-for-parameter
import click
import metaworld.benchmarks as mwb
import psutil
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv, MultiEnvWrapper, normalize
from garage.envs.multi_e... | 2,630 | 34.554054 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/mtsac_metaworld_ml1_pick_place.py | #!/usr/bin/env python3
"""MTSAC implementation based on Metaworld. Benchmarked on ML1.
This experiment shows how MTSAC adapts to 50 environents of the same type
but each environment has a goal variation.
https://arxiv.org/pdf/1910.10897.pdf
"""
import pickle
import click
import metaworld.benchmarks as mwb
import num... | 4,154 | 35.769912 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/mtsac_metaworld_mt10.py | #!/usr/bin/env python3
"""MTSAC implementation based on Metaworld. Benchmarked on MT10.
https://arxiv.org/pdf/1910.10897.pdf
"""
import click
import metaworld.benchmarks as mwb
import numpy as np
from torch import nn
from torch.nn import functional as F
from garage import wrap_experiment
from garage.envs import Garag... | 3,899 | 36.5 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/mtsac_metaworld_mt50.py | #!/usr/bin/env python3
"""MTSAC implementation based on Metaworld. Benchmarked on MT50.
https://arxiv.org/pdf/1910.10897.pdf
"""
import click
import metaworld.benchmarks as mwb
import numpy as np
from torch import nn
from torch.nn import functional as F
from garage import wrap_experiment
from garage.envs import Garag... | 4,087 | 36.851852 | 75 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/mttrpo_metaworld_ml1_push.py | #!/usr/bin/env python3
"""This is an example to train TRPO on ML1 Push environment."""
# pylint: disable=no-value-for-parameter
import click
import metaworld.benchmarks as mwb
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.experiment import LocalRunner
from gar... | 2,093 | 32.774194 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/mttrpo_metaworld_mt10.py | #!/usr/bin/env python3
"""This is an example to train TRPO on MT10 environment."""
# pylint: disable=no-value-for-parameter
import click
import metaworld.benchmarks as mwb
import psutil
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv, MultiEnvWrapper, normalize
from garage.envs.multi_... | 2,574 | 34.763889 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/mttrpo_metaworld_mt50.py | #!/usr/bin/env python3
"""This is an example to train TRPO on MT50 environment."""
# pylint: disable=no-value-for-parameter
import click
import metaworld.benchmarks as mwb
import psutil
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv, MultiEnvWrapper, normalize
from garage.envs.multi_... | 2,574 | 34.763889 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/pearl_half_cheetah_vel.py | #!/usr/bin/env python3
"""PEARL HalfCheetahVel example."""
import click
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.envs.mujoco import HalfCheetahVelEnv
from garage.experiment import LocalRunner
from garage.experiment.deterministic import set_seed
from garage.experiment.... | 6,501 | 40.679487 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/pearl_metaworld_ml10.py | #!/usr/bin/env python3
"""PEARL ML10 example."""
import click
import metaworld.benchmarks as mwb
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.experiment import LocalRunner
from garage.experiment.deterministic import set_seed
from garage.experiment.task_sampler import Env... | 6,732 | 39.317365 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/pearl_metaworld_ml1_push.py | #!/usr/bin/env python3
"""PEARL ML1 example."""
import click
import metaworld.benchmarks as mwb
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.experiment import LocalRunner
from garage.experiment.deterministic import set_seed
from garage.experiment.task_sampler import SetTa... | 6,536 | 40.636943 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/pearl_metaworld_ml45.py | #!/usr/bin/env python3
"""PEARL ML45 example."""
import click
import metaworld.benchmarks as mwb
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.experiment import LocalRunner
from garage.experiment.deterministic import set_seed
from garage.experiment.task_sampler import Env... | 6,740 | 39.365269 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/ppo_pendulum.py | #!/usr/bin/env python3
"""This is an example to train a task with PPO algorithm (PyTorch).
Here it runs InvertedDoublePendulum-v2 environment with 100 iterations.
"""
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv
from garage.experiment import LocalRunner
from garage.experiment.dete... | 1,794 | 31.636364 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/resume_training.py | #!/usr/bin/env python3
"""This is an example to resume training programmatically."""
# pylint: disable=no-value-for-parameter
import click
from garage import wrap_experiment
from garage.experiment import LocalRunner
@click.command()
@click.option('--saved_dir',
required=True,
help='Path w... | 786 | 25.233333 | 72 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/sac_half_cheetah_batch.py | #!/usr/bin/env python3
"""This is an example to train a task with SAC algorithm written in PyTorch."""
import gym
import numpy as np
import torch
from torch import nn
from torch.nn import functional as F
from garage import wrap_experiment
from garage.envs import GarageEnv, normalize
from garage.experiment import deter... | 2,564 | 31.0625 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/trpo_pendulum.py | #!/usr/bin/env python3
"""This is an example to train a task with TRPO algorithm (PyTorch).
Here it runs InvertedDoublePendulum-v2 environment with 100 iterations.
"""
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv
from garage.experiment import LocalRunner
from garage.experiment.det... | 1,804 | 31.818182 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/trpo_pendulum_ray_sampler.py | #!/usr/bin/env python3
"""This is an example to train a task with TRPO algorithm (PyTorch).
Uses Ray sampler instead of OnPolicyVectorizedSampler.
Here it runs InvertedDoublePendulum-v2 environment with 100 iterations.
"""
import numpy as np
import ray
import torch
from garage import wrap_experiment
from garage.envs ... | 2,324 | 34.227273 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/examples/torch/vpg_pendulum.py | #!/usr/bin/env python3
"""This is an example to train a task with VPG algorithm (PyTorch).
Here it runs InvertedDoublePendulum-v2 environment with 100 iterations.
Results:
AverageReturn: 450 - 650
"""
import torch
from garage import wrap_experiment
from garage.envs import GarageEnv
from garage.experiment import ... | 1,827 | 30.517241 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/__init__.py | """Garage Base."""
from garage._dtypes import InOutSpec
from garage._dtypes import TimeStep
from garage._dtypes import TimeStepBatch
from garage._dtypes import TrajectoryBatch
from garage._functions import _Default
from garage._functions import log_multitask_performance
from garage._functions import log_performance
fro... | 603 | 34.529412 | 70 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/_dtypes.py | """Data types for agent-based learning."""
import collections
import akro
import numpy as np
from garage.misc import tensor_utils
class TrajectoryBatch(
collections.namedtuple('TrajectoryBatch', [
'env_spec',
'observations',
'last_observations',
'actions',
... | 43,670 | 45.458511 | 116 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/_functions.py | """Functions exposed directly in the garage namespace."""
from collections import defaultdict
from dowel import tabular
import numpy as np
import garage
from garage.misc.tensor_utils import discount_cumsum
class _Default: # pylint: disable=too-few-public-methods
"""A wrapper class to represent default argument... | 6,267 | 37.691358 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/__init__.py | """Garage wrappers for gym environments."""
from garage.envs.env_spec import EnvSpec
from garage.envs.garage_env import GarageEnv
from garage.envs.grid_world_env import GridWorldEnv
from garage.envs.multi_env_wrapper import MultiEnvWrapper
from garage.envs.normalized_env import normalize
from garage.envs.point_env imp... | 589 | 25.818182 | 61 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/env_spec.py | """EnvSpec class."""
from garage import InOutSpec
class EnvSpec(InOutSpec):
"""Describes the action and observation spaces of an environment.
Args:
observation_space (akro.Space): The observation space of the env.
action_space (akro.Space): The action space of the env.
"""
def __in... | 1,679 | 23 | 73 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/garage_env.py | """Wrapper class that converts gym.Env into GarageEnv."""
import copy
import akro
import gym
from garage.envs.env_spec import EnvSpec
# The gym environments using one of the packages in the following lists as
# entry points don't close their viewer windows.
KNOWN_GYM_NOT_CLOSE_VIEWER = [
# Please keep alphabeti... | 7,503 | 35.784314 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/grid_world_env.py | import gym
import numpy as np
from garage.envs.step import Step
MAPS = {
'chain': ['GFFFFFFFFFFFFFSFFFFFFFFFFFFFG'],
'4x4_safe': [
'SFFF',
'FWFW',
'FFFW',
'WFFG'
],
'4x4': [
'SFFF',
'FHFH',
'FFFH',
'HFFG'
],
'8x8': [
'SFFF... | 4,028 | 26.979167 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/multi_env_wrapper.py | """A wrapper env that handles multiple tasks from different envs.
Useful while training multi-task reinforcement learning algorithms.
It provides observations augmented with one-hot representation of tasks.
"""
import random
import akro
import gym
import numpy as np
from garage.envs.garage_env import GarageEnv
de... | 7,899 | 31.113821 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/normalized_env.py | """An environment wrapper that normalizes action, observation and reward."""
import akro
import gym
import gym.spaces
import gym.spaces.utils
import numpy as np
from garage.envs import EnvSpec
from garagei.envs.akro_wrapper import AkroWrapperTrait
class NormalizedEnv(AkroWrapperTrait, gym.Wrapper):
"""An environ... | 6,471 | 34.756906 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/point_env.py | """Simple 2D environment containing a point and a goal location."""
import gym
import numpy as np
from garage.envs.step import Step
class PointEnv(gym.Env):
"""A simple 2D point environment.
Attributes:
observation_space (gym.spaces.Box): The observation space
action_space (gym.spaces.Box): ... | 4,375 | 29.601399 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/step.py | """Environment step data type."""
import collections
def Step(observation, reward, done, **kwargs): # noqa: N802
"""Create a namedtuple from the results of environment.step(action).
Provides the option to put extra diagnostic info in the kwargs (if it
exists) without demanding an explicit positional arg... | 900 | 32.37037 | 76 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/task_onehot_wrapper.py | """Wrapper for appending one-hot task encodings to individual task envs.
See `~TaskOnehotWrapper.wrap_env_list` for the main way of using this module.
"""
import akro
import gym
import numpy as np
from garage.envs.env_spec import EnvSpec
class TaskOnehotWrapper(gym.Wrapper):
"""Append a one-hot task representa... | 5,737 | 32.952663 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/dm_control/__init__.py | """
Wrappers for the DeepMind Control Suite.
See https://github.com/deepmind/dm_control
"""
try:
import dm_control # noqa: F401
except ImportError:
raise ImportError("To use garage's dm_control wrappers, please install "
'garage[dm_control].')
from garage.envs.dm_control.dm_control_view... | 470 | 28.4375 | 76 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/dm_control/dm_control_env.py | from dm_control import suite
from dm_control.rl.control import flatten_observation
from dm_env import StepType
import gym
import numpy as np
from garage.envs import Step
from garage.envs.dm_control.dm_control_viewer import DmControlViewer
class DmControlEnv(gym.Env):
"""
Binding for `dm_control <https://arxi... | 2,773 | 32.02381 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/dm_control/dm_control_viewer.py | """ Wrapper for the dm_control viewer which allows single-stepping """
import dm_control.viewer.application as dm_viewer_app
import glfw
class DmControlViewer(dm_viewer_app.Application):
def render(self):
# Don't try to render into closed windows
if not self._window._context:
return
... | 2,059 | 35.785714 | 151 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/mujoco/__init__.py | """Garage wrappers for mujoco based gym environments."""
try:
import mujoco_py # noqa: F401
except Exception as e:
raise e
from garage.envs.mujoco.half_cheetah_dir_env import HalfCheetahDirEnv
from garage.envs.mujoco.half_cheetah_vel_env import HalfCheetahVelEnv
__all__ = [
'HalfCheetahDirEnv',
'Half... | 338 | 23.214286 | 69 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/mujoco/half_cheetah_dir_env.py | """Variant of the HalfCheetahEnv with different target directions."""
import numpy as np
from garage.envs.mujoco.half_cheetah_env_meta_base import HalfCheetahEnvMetaBase # noqa: E501
class HalfCheetahDirEnv(HalfCheetahEnvMetaBase):
"""Half-cheetah environment with target direction, as described in [1].
The... | 3,802 | 37.03 | 132 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/mujoco/half_cheetah_env_meta_base.py | """Base class of HalfCheetah meta-environments."""
from gym.envs.mujoco import HalfCheetahEnv as HalfCheetahEnv_
import numpy as np
class HalfCheetahEnvMetaBase(HalfCheetahEnv_):
"""Base class of HalfCheetah meta-environments.
Code is adapted from
https://github.com/tristandeleu/pytorch-maml-rl/blob/493e... | 2,020 | 29.164179 | 133 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/mujoco/half_cheetah_vel_env.py | """Variant of the HalfCheetahEnv with different target velocity."""
import numpy as np
from garage.envs.mujoco.half_cheetah_env_meta_base import HalfCheetahEnvMetaBase # noqa: E501
class HalfCheetahVelEnv(HalfCheetahEnvMetaBase):
"""Half-cheetah environment with target velocity, as described in [1].
The co... | 3,771 | 37.10101 | 126 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/wrappers/__init__.py | """gym.Env wrappers.
Used to transform an environment in a modular way.
It is also possible to apply multiple wrappers at the same
time.
Example:
StackFrames(GrayScale(gym.make('env')))
"""
from garage.envs.wrappers.atari_env import AtariEnv
from garage.envs.wrappers.clip_reward import ClipReward
from garage.env... | 814 | 31.6 | 71 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/wrappers/atari_env.py | """Episodic life wrapper for gym.Env."""
import gym
import numpy as np
class AtariEnv(gym.Wrapper):
"""Atari environment wrapper for gym.Env.
This wrapper convert the observations returned from baselines wrapped
environment, which is a LazyFrames object into numpy arrays.
Args:
env (gym.Env)... | 708 | 25.259259 | 73 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/wrappers/clip_reward.py | """Clip reward for gym.Env."""
import gym
import numpy as np
class ClipReward(gym.Wrapper):
"""Clip the reward by its sign."""
def step(self, ac):
"""gym.Env step function."""
obs, reward, done, info = self.env.step(ac)
return obs, np.sign(reward), done, info
def reset(self):
... | 378 | 21.294118 | 51 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/wrappers/episodic_life.py | """Episodic life wrapper for gym.Env."""
import gym
class EpisodicLife(gym.Wrapper):
"""Episodic life wrapper for gym.Env.
This wrapper makes episode end when a life is lost, but only reset
when all lives are lost.
Args:
env: The environment to be wrapped.
"""
def __init__(self, env... | 1,112 | 24.883721 | 70 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/wrappers/fire_reset.py | """Fire reset wrapper for gym.Env."""
import gym
class FireReset(gym.Wrapper):
"""Fire reset wrapper for gym.Env.
Take action "fire" on reset.
Args:
env (gym.Env): The environment to be wrapped.
"""
def __init__(self, env):
super().__init__(env)
assert env.unwrapped.get_... | 884 | 26.65625 | 68 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/wrappers/grayscale.py | """Grayscale wrapper for gym.Env."""
import warnings
import gym
import gym.spaces
import numpy as np
from skimage import color
from skimage import img_as_ubyte
class Grayscale(gym.Wrapper):
"""Grayscale wrapper for gym.Env, converting frames to grayscale.
Only works with gym.spaces.Box environment with 2D R... | 2,319 | 28.367089 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/wrappers/max_and_skip.py | """Max and Skip wrapper for gym.Env."""
import gym
import numpy as np
class MaxAndSkip(gym.Wrapper):
"""Max and skip wrapper for gym.Env.
It returns only every `skip`-th frame. Action are repeated and rewards are
sum for the skipped frames.
It also takes element-wise maximum over the last two consec... | 1,515 | 28.72549 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/wrappers/noop.py | """Noop wrapper for gym.Env."""
import gym
import numpy as np
class Noop(gym.Wrapper):
"""Noop wrapper for gym.Env.
It samples initial states by taking random number of no-ops on reset.
No-op is assumed to be action 0.
Args:
env (gym.Env): The environment to be wrapped.
noop_max (int... | 1,172 | 29.868421 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/wrappers/resize.py | """Resize wrapper for gym.Env."""
import warnings
import gym
import gym.spaces
import numpy as np
from skimage import img_as_ubyte
from skimage.transform import resize
class Resize(gym.Wrapper):
"""gym.Env wrapper for resizing frame to (width, height).
Only works with gym.spaces.Box environment with 2D sing... | 2,671 | 31.192771 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/envs/wrappers/stack_frames.py | """Stack frames wrapper for gym.Env."""
from collections import deque
import gym
import gym.spaces
import numpy as np
class StackFrames(gym.Wrapper):
"""gym.Env wrapper to stack multiple frames.
Useful for training feed-forward agents on dynamic games.
Only works with gym.spaces.Box environment with 2D ... | 2,228 | 28.72 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/experiment/__init__.py | """Experiment functions."""
from garage.experiment.experiment import run_experiment
from garage.experiment.experiment import to_local_command
from garage.experiment.local_runner import LocalRunner
from garage.experiment.local_tf_runner import LocalTFRunner
from garage.experiment.meta_evaluator import MetaEvaluator
from... | 623 | 30.2 | 69 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/experiment/deterministic.py | """Utilities for ensuring that experiments are deterministic."""
import random
import sys
import warnings
import numpy as np
seed_ = None
seed_stream_ = None
def set_seed(seed):
"""Set the process-wide random seed.
Args:
seed (int): A positive integer
"""
seed %= 4294967294
# pylint: d... | 1,613 | 23.830769 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/experiment/experiment.py | """Tools for running experiments with Garage."""
import base64
import collections
import datetime
import enum
import functools
import gc
import inspect
import json
import os
import os.path as osp
import pathlib
import pickle
import re
import subprocess
import warnings
import cloudpickle
import dateutil.tz
import dowel... | 30,140 | 36.582294 | 113 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/experiment/experiment_wrapper.py | #!/usr/bin/env python3
"""Run an experiment triggered by `run_experiment()` in `experiment.py`."""
import argparse
import ast
import base64
import datetime
import gc
import json
import os
import pathlib
import sys
import uuid
import cloudpickle
import dateutil.tz
import dowel
from dowel import logger
import psutil
im... | 8,231 | 34.482759 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/experiment/local_runner.py | """Provides algorithms with access to most of garage's features."""
import copy
import os
import time
import cloudpickle
from dowel import logger, tabular
import psutil
from garage.experiment.deterministic import get_seed, set_seed
from garage.experiment.snapshotter import Snapshotter
from garage.sampler import paral... | 21,957 | 34.879085 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/experiment/local_tf_runner.py | """The local runner for TensorFlow algorithms.
A runner setup context for algorithms during initialization and
pipelines data between sampler and algorithm during training.
"""
from dowel import logger
import psutil
from garage.experiment import LocalRunner
from garage.sampler import DefaultWorker
tf = False
TFWorke... | 8,263 | 36.058296 | 104 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/experiment/meta_evaluator.py | """Evaluator which tests Meta-RL algorithms on test environments."""
from dowel import logger, tabular
from garage import log_multitask_performance, TrajectoryBatch
from garage.experiment.deterministic import get_seed
from garage.sampler import DefaultWorker
from garage.sampler import LocalSampler
from garage.sampler... | 5,196 | 42.672269 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/experiment/snapshotter.py | """Defines SnapshotConfig and Snapshotter."""
import collections
import errno
import os
import pathlib
import cloudpickle
import joblib
SnapshotConfig = collections.namedtuple(
'SnapshotConfig', ['snapshot_dir', 'snapshot_mode', 'snapshot_gap'])
class Snapshotter:
"""Snapshotter snapshots training data.
... | 5,388 | 33.107595 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/experiment/task_sampler.py | """Efficient and general interfaces for sampling tasks for Meta-RL."""
import abc
import copy
import math
import numpy as np
from garage.sampler.env_update import (ExistingEnvUpdate, NewEnvUpdate,
SetTaskUpdate)
def _sample_indices(n_to_sample, n_available_tasks, with_replacem... | 7,992 | 34.683036 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/misc/__init__.py | 0 | 0 | 0 | py | |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/misc/tensor_utils.py | """Utiliy functions for tensors."""
import numpy as np
import scipy.signal
def discount_cumsum(x, discount):
"""Discounted cumulative sum.
See https://docs.scipy.org/doc/scipy/reference/tutorial/signal.html#difference-equation-filtering # noqa: E501
Here, we have y[t] - discount*y[t+1] = x[t]
or rev... | 11,535 | 28.808786 | 115 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/__init__.py | """Reinforcement Learning Algorithms which use NumPy as a numerical backend."""
from garage.np._functions import obtain_evaluation_samples
from garage.np._functions import paths_to_tensors
from garage.np._functions import samples_to_tensors
__all__ = [
'obtain_evaluation_samples', 'paths_to_tensors', 'samples_to_t... | 330 | 35.777778 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/_functions.py | """Utility functions for NumPy-based Reinforcement learning algorithms."""
import numpy as np
from garage._dtypes import TrajectoryBatch
from garage.misc import tensor_utils
from garage.sampler.utils import rollout
def samples_to_tensors(paths):
"""Return processed sample data based on the collected paths.
... | 4,795 | 34.791045 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/algos/__init__.py | """Reinforcement learning algorithms which use NumPy as a numerical backend."""
from garage.np.algos.cem import CEM
from garage.np.algos.cma_es import CMAES
from garage.np.algos.meta_rl_algorithm import MetaRLAlgorithm
from garage.np.algos.nop import NOP
from garage.np.algos.rl_algorithm import RLAlgorithm
__all__ = [... | 400 | 25.733333 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/algos/cem.py | """Cross Entropy Method."""
import collections
from dowel import logger, tabular
import numpy as np
from garage import log_performance, TrajectoryBatch
from garage.np import paths_to_tensors
from garage.np.algos.rl_algorithm import RLAlgorithm
from garage.tf.samplers import BatchSampler
class CEM(RLAlgorithm):
... | 6,825 | 34.73822 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/algos/cma_es.py | """Covariance Matrix Adaptation Evolution Strategy."""
import collections
import cma
from dowel import logger, tabular
import numpy as np
from garage import log_performance, TrajectoryBatch
from garage.np import paths_to_tensors
from garage.np.algos.rl_algorithm import RLAlgorithm
from garage.tf.samplers import Batch... | 5,339 | 33.230769 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/algos/meta_rl_algorithm.py | """Interface of Meta-RL ALgorithms."""
import abc
from garage.np.algos.rl_algorithm import RLAlgorithm
class MetaRLAlgorithm(RLAlgorithm, abc.ABC):
"""Base class for Meta-RL Algorithms."""
@abc.abstractmethod
def get_exploration_policy(self):
"""Return a policy used before adaptation to a specif... | 1,387 | 32.047619 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/algos/nop.py | """NOP (no optimization performed) policy search algorithm."""
from garage.np.algos.rl_algorithm import RLAlgorithm
class NOP(RLAlgorithm):
"""NOP (no optimization performed) policy search algorithm."""
def init_opt(self):
"""Initialize the optimization procedure."""
def optimize_policy(self, pa... | 798 | 27.535714 | 75 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/algos/rl_algorithm.py | """Interface of RLAlgorithm."""
import abc
class RLAlgorithm(abc.ABC):
"""Base class for all the algorithms.
Note:
If the field sampler_cls exists, it will be by LocalRunner.setup to
initialize a sampler.
"""
# pylint: disable=too-few-public-methods
@abc.abstractmethod
def ... | 646 | 23.884615 | 75 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/baselines/__init__.py | """Baselines (value functions) which use NumPy as a numerical backend."""
from garage.np.baselines.baseline import Baseline
from garage.np.baselines.linear_feature_baseline import LinearFeatureBaseline
from garage.np.baselines.linear_multi_feature_baseline import (
LinearMultiFeatureBaseline)
from garage.np.baselin... | 462 | 37.583333 | 77 | py |