Search is not available for this dataset
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
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CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/baselines/baseline.py | """Base class for all baselines."""
import abc
class Baseline(abc.ABC):
"""Base class for all baselines.
Args:
env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
"""
def __init__(self, env_spec):
self._mdp_spec = env_spec
@abc.abstractmethod
def get_param_v... | 1,252 | 19.209677 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/baselines/linear_feature_baseline.py | """A linear value function (baseline) based on features."""
import numpy as np
from garage.np.baselines.baseline import Baseline
class LinearFeatureBaseline(Baseline):
"""A linear value function (baseline) based on features.
Args:
env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
... | 2,656 | 27.265957 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/baselines/linear_multi_feature_baseline.py | """Linear Multi-Feature Baseline."""
import numpy as np
from garage.np.baselines import LinearFeatureBaseline
class LinearMultiFeatureBaseline(LinearFeatureBaseline):
"""A linear value function (baseline) based on features.
Args:
env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
... | 1,312 | 28.177778 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/baselines/zero_baseline.py | import numpy as np
from garage.np.baselines.baseline import Baseline
class ZeroBaseline(Baseline):
def __init__(self, env_spec):
pass
def get_param_values(self, **kwargs):
return None
def set_param_values(self, val, **kwargs):
pass
def fit(self, paths):
pass
d... | 489 | 18.6 | 65 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/embeddings/__init__.py | """Embedding encoders and decoders which use NumPy as a numerical backend."""
from garage.np.embeddings.encoder import Encoder, StochasticEncoder
__all__ = ['Encoder', 'StochasticEncoder']
| 190 | 37.2 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/embeddings/encoder.py | """Base class for context encoder."""
import abc
class Encoder(abc.ABC):
"""Base class of context encoders for training meta-RL algorithms."""
@property
@abc.abstractmethod
def spec(self):
"""garage.InOutSpec: Input and output space."""
@property
@abc.abstractmethod
def input_dim... | 1,307 | 24.153846 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/exploration_policies/__init__.py | """Exploration strategies which use NumPy as a numerical backend."""
from garage.np.exploration_policies.add_gaussian_noise import AddGaussianNoise
from garage.np.exploration_policies.add_ornstein_uhlenbeck_noise import (
AddOrnsteinUhlenbeckNoise)
from garage.np.exploration_policies.epsilon_greedy_policy import (
... | 540 | 40.615385 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/exploration_policies/add_gaussian_noise.py | """Gaussian exploration strategy."""
import gym
import numpy as np
from garage.np.exploration_policies.exploration_policy import ExplorationPolicy
class AddGaussianNoise(ExplorationPolicy):
"""Add Gaussian noise to the action taken by the deterministic policy.
Args:
env_spec (EnvSpec): Environment s... | 2,979 | 34.47619 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/exploration_policies/add_ornstein_uhlenbeck_noise.py | """Ornstein-Uhlenbeck exploration strategy.
Ornstein-Uhlenbeck exploration strategy comes from the Ornstein-Uhlenbeck
process. It is often used in DDPG algorithm because in continuous control task
it is better to have temporally correlated exploration to get smoother
transitions. And OU process is relatively smooth in... | 3,801 | 32.646018 | 103 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/exploration_policies/epsilon_greedy_policy.py | """ϵ-greedy exploration strategy.
Random exploration according to the value of epsilon.
"""
import numpy as np
from garage.np.exploration_policies.exploration_policy import ExplorationPolicy
class EpsilonGreedyPolicy(ExplorationPolicy):
"""ϵ-greedy exploration strategy.
Select action based on the value of ... | 2,978 | 32.47191 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/exploration_policies/exploration_policy.py | """Exploration Policy API used by off-policy algorithms."""
import abc
# This should be an ABC inheritting from garage.Policy, but that doesn't exist
# yet.
class ExplorationPolicy(abc.ABC):
"""Policy that wraps another policy to add action noise.
Args:
policy (garage.Policy): Policy to wrap.
""... | 1,717 | 23.197183 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/optimizers/__init__.py | """Optimizers which use NumPy as a numerical backend."""
from garage.np.optimizers.minibatch_dataset import BatchDataset
__all__ = ['BatchDataset']
| 149 | 29 | 63 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/optimizers/minibatch_dataset.py | import numpy as np
class BatchDataset:
def __init__(self, inputs, batch_size, extra_inputs=None):
self._inputs = [i for i in inputs]
if extra_inputs is None:
extra_inputs = []
self._extra_inputs = extra_inputs
self._batch_size = batch_size
if batch_size is not N... | 1,202 | 32.416667 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/policies/__init__.py | """Policies which use NumPy as a numerical backend."""
from garage.np.policies.fixed_policy import FixedPolicy
from garage.np.policies.policy import Policy, StochasticPolicy
from garage.np.policies.scripted_policy import ScriptedPolicy
__all__ = ['FixedPolicy', 'Policy', 'StochasticPolicy', 'ScriptedPolicy']
| 312 | 38.125 | 73 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/policies/fixed_policy.py | """Policy that performs a fixed sequence of actions."""
from garage.np.policies.policy import Policy
class FixedPolicy(Policy):
"""Policy that performs a fixed sequence of actions.
Args:
env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
scripted_actions (list[np.ndarray] or ... | 2,880 | 27.524752 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/policies/policy.py | """Base class for policies based on numpy."""
import abc
class Policy(abc.ABC):
"""Base classe for policies based on numpy.
Args:
env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
"""
def __init__(self, env_spec):
self._env_spec = env_spec
@abc.abstractmethod
... | 2,496 | 24.742268 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/policies/scripted_policy.py | """Simulates a garage policy object."""
class ScriptedPolicy:
"""Simulates a garage policy object.
Args:
- scripted actions(list or dictionary): data structure indexed by
obervation, returns a corresponding action
- agent_env_infos(list or dictionary): data structure indexed by
... | 1,385 | 29.8 | 73 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/q_functions/__init__.py | """Q-functions which use NumPy as a numerical backend."""
from garage.np.q_functions.q_function import QFunction
__all__ = ['QFunction']
| 138 | 26.8 | 57 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/np/q_functions/q_function.py | """Base class for Q Functions implemented in numpy."""
class QFunction:
"""Q-Function interface."""
pass
| 115 | 15.571429 | 54 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/plotter/__init__.py | from garage.plotter.plotter import Plotter
__all__ = ['Plotter']
| 66 | 15.75 | 42 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/plotter/plotter.py | import atexit
from collections import namedtuple
from enum import Enum
from multiprocessing import JoinableQueue
from multiprocessing import Process
import platform
from threading import Thread
import numpy as np
from garage.sampler.utils import rollout
__all__ = ['Plotter']
class Op(Enum):
STOP = 0
UPDATE... | 4,249 | 29.57554 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/replay_buffer/__init__.py | """Replay buffers.
The replay buffer primitives can be used for RL algorithms.
"""
from garage.replay_buffer.her_replay_buffer import HERReplayBuffer
from garage.replay_buffer.path_buffer import PathBuffer
from garage.replay_buffer.replay_buffer import ReplayBuffer
__all__ = ['ReplayBuffer', 'HERReplayBuffer', 'PathB... | 328 | 31.9 | 66 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/replay_buffer/her_replay_buffer.py | """This module implements a Hindsight Experience Replay (HER).
See: https://arxiv.org/abs/1707.01495.
"""
import copy
import numpy as np
from garage.replay_buffer.path_buffer import PathBuffer
class HERReplayBuffer(PathBuffer):
"""Replay buffer for HER (Hindsight Experience Replay).
It constructs hindsigh... | 4,963 | 34.71223 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/replay_buffer/path_buffer.py | """A replay buffer that efficiently stores and can sample whole paths."""
import collections
import numpy as np
class PathBuffer:
"""A replay buffer that stores and can sample whole paths.
This buffer only stores valid steps, and doesn't require paths to
have a maximum length.
Args:
capacit... | 7,114 | 33.877451 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/replay_buffer/replay_buffer.py | """This module implements a replay buffer memory.
Replay buffer is an important technique in reinforcement learning. It
stores transitions in a memory buffer of fixed size. When the buffer is
full, oldest memory will be discarded. At each step, a batch of memories
will be sampled from the buffer to update the agent's ... | 6,268 | 32.886486 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/__init__.py | """Samplers which run agents in environments."""
from garage.sampler.batch_sampler import BatchSampler
from garage.sampler.default_worker import DefaultWorker
from garage.sampler.is_sampler import ISSampler
from garage.sampler.local_sampler import LocalSampler
from garage.sampler.multiprocessing_sampler import Multipr... | 1,185 | 44.615385 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/batch_sampler.py | """Class with batch-based sampling."""
import warnings
from garage.sampler import parallel_sampler
from garage.sampler.sampler_deprecated import BaseSampler
from garage.sampler.utils import truncate_paths
class BatchSampler(BaseSampler):
"""Class with batch-based sampling.
Args:
algo (garage.np.algo... | 1,931 | 31.2 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/default_worker.py | """Default Worker class."""
from collections import defaultdict
import gym
import numpy as np
from garage import TrajectoryBatch
from garage.experiment import deterministic
from garage.sampler.env_update import EnvUpdate
from garage.sampler.worker import Worker
class DefaultWorker(Worker):
"""Initialize a worke... | 6,576 | 34.360215 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/env_update.py | """A callable that "updates" an environment."""
import warnings
class EnvUpdate:
"""A callable that "updates" an environment.
Implementors of this interface can be called on environments to update
them. The passed in environment should then be ignored, and the returned
one used instead.
Since no... | 3,466 | 24.681481 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/is_sampler.py | """Importance sampling sampler."""
import copy
from math import exp
from math import log
import random
import numpy as np
from numpy import var
from garage.sampler.batch_sampler import BatchSampler
from garage.sampler.utils import truncate_paths
tf = False
try:
import tensorflow as tf
import tensorflow_proba... | 9,219 | 33.402985 | 105 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/local_sampler.py | """Sampler that runs workers in the main process."""
import copy
from garage import TrajectoryBatch
from garage.sampler.sampler import Sampler
class LocalSampler(Sampler):
"""Sampler that runs workers in the main process.
This is probably the simplest possible sampler. It's called the "Local"
sampler be... | 7,503 | 39.562162 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/multiprocessing_sampler.py | """A multiprocessing sampler which avoids waiting as much as possible."""
from collections import defaultdict
import itertools
import multiprocessing as mp
import queue
import click
import cloudpickle
import setproctitle
from garage import TrajectoryBatch
from garage.sampler.sampler import Sampler
class Multiproces... | 16,948 | 41.585427 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/off_policy_vectorized_sampler.py | """This module implements a Vectorized Sampler used for OffPolicy Algorithms.
It diffs from OnPolicyVectorizedSampler in two parts:
- The num of envs is defined by rollout_batch_size. In
OnPolicyVectorizedSampler, the number of envs can be decided by batch_size
and max_path_length. But OffPolicy algorithms usually ... | 8,222 | 40.321608 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/on_policy_vectorized_sampler.py | """BatchSampler which uses VecEnvExecutor to run multiple environments."""
import itertools
import time
import warnings
import click
import cloudpickle
from dowel import logger, tabular
import numpy as np
from garage.experiment import deterministic
from garage.misc import tensor_utils
from garage.sampler.batch_sample... | 7,696 | 41.291209 | 112 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/parallel_sampler.py | """Original parallel sampler pool backend."""
# pylint: skip-file
import signal
import cloudpickle
from dowel import logger
import numpy as np
from garage.experiment import deterministic
from garage.sampler.stateful_pool import SharedGlobal
from garage.sampler.stateful_pool import singleton_pool
from garage.sampler.... | 4,829 | 32.082192 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/parallel_vec_env_executor.py | """Environment wrapper that runs multiple environments in parallel."""
# pylint: skip-file
import uuid
import warnings
import cloudpickle
from dowel import logger
import numpy as np
from garage.misc import tensor_utils
from garage.sampler.stateful_pool import singleton_pool
def worker_init_envs(g, alloc, scope, en... | 7,004 | 33.678218 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/ray_sampler.py | """This is an implementation of an on policy batch sampler.
Uses a data parallel design.
Included is a sampler that deploys sampler workers.
The sampler workers must implement some type of set agent parameters
function, and a rollout function.
"""
from collections import defaultdict
import itertools
import click
imp... | 12,646 | 40.601974 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/sampler.py | """Base sampler class."""
import abc
import copy
class Sampler(abc.ABC):
"""Abstract base class of all samplers.
Implementations of this class should override `construct`,
`obtain_samples`, and `shutdown_worker`. `construct` takes a
`WorkerFactory`, which implements most of the RL-specific functiona... | 3,727 | 35.54902 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/sampler_deprecated.py | """Base class of Sampler."""
import abc
class Sampler(abc.ABC):
"""Sampler interface."""
@abc.abstractmethod
def start_worker(self):
"""Initialize the sampler.
e.g. launching parallel workers if necessary.
"""
@abc.abstractmethod
def obtain_samples(self, itr, batch_size... | 1,074 | 21.395833 | 71 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/stateful_pool.py | # flake8: noqa
# pylint: skip-file
import inspect
import multiprocessing as mp
import sys
import time
import traceback
import click
from joblib.pool import MemmappingPool
class SharedGlobal:
pass
class StatefulPool:
def __init__(self):
self.n_parallel = 1
self.pool = None
self.queu... | 7,359 | 32.153153 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/utils.py | """Utility functions related to sampling."""
import time
import numpy as np
from garage.misc import tensor_utils
def rollout(env,
agent,
*,
max_path_length=np.inf,
animated=False,
speedup=1,
deterministic=False):
"""Sample a single rollout... | 5,222 | 36.042553 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/vec_env_executor.py | """Environment wrapper that runs multiple environments."""
import copy
import warnings
import numpy as np
from garage.misc import tensor_utils
class VecEnvExecutor:
"""Environment wrapper that runs multiple environments.
Args:
envs (list[gym.Env]): List of environments to batch together.
ma... | 3,488 | 29.33913 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/vec_worker.py | """Worker that "vectorizes" environments."""
import collections
import copy
import gym
import numpy as np
from garage import TrajectoryBatch
from garage.sampler.default_worker import DefaultWorker
from garage.sampler.env_update import EnvUpdate
class VecWorker(DefaultWorker):
"""Worker with a single policy and ... | 9,184 | 39.822222 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/worker.py | """Worker interface used in all Samplers."""
import abc
class Worker(abc.ABC):
"""Worker class used in all Samplers."""
def __init__(self, *, seed, max_path_length, worker_number):
"""Initialize a worker.
Args:
seed(int): The seed to use to intialize random number generators.
... | 2,682 | 29.488636 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/sampler/worker_factory.py | """Worker factory used by Samplers to construct Workers."""
import psutil
from garage.sampler.default_worker import DefaultWorker
def identity_function(value):
"""Do nothing.
This function exists so it can be pickled.
Args:
value(object): A value.
Returns:
object: The value.
"... | 3,720 | 32.827273 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/__init__.py | """Tensorflow Branch."""
from garage.tf._functions import paths_to_tensors
__all__ = ['paths_to_tensors']
| 107 | 20.6 | 49 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/_functions.py | """Utility functions for tf-based Reinforcement learning algorithms."""
import numpy as np
from garage.misc import tensor_utils as np_tensor_utils
from garage.tf.misc import tensor_utils
def paths_to_tensors(paths, max_path_length, baseline_predictions, discount,
gae_lambda):
"""Return proce... | 3,400 | 33.01 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/__init__.py | """Tensorflow implementation of reinforcement learning algorithms."""
from garage.tf.algos.ddpg import DDPG
from garage.tf.algos.dqn import DQN
from garage.tf.algos.erwr import ERWR
from garage.tf.algos.npo import NPO
from garage.tf.algos.ppo import PPO
from garage.tf.algos.reps import REPS
from garage.tf.algos.rl2 imp... | 840 | 23.028571 | 69 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/_rl2npo.py | """Natural Policy Gradient Optimization."""
from dowel import logger, tabular
import numpy as np
from garage.misc import tensor_utils as np_tensor_utils
from garage.tf.algos import NPO
class RL2NPO(NPO):
"""Natural Policy Gradient Optimization.
This is specific for RL^2
(https://arxiv.org/pdf/1611.02779... | 5,636 | 46.369748 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/ddpg.py | """Deep Deterministic Policy Gradient (DDPG) implementation in TensorFlow."""
from collections import deque
from dowel import logger, tabular
import numpy as np
import tensorflow as tf
from garage import _Default, make_optimizer
from garage import log_performance
from garage.np import obtain_evaluation_samples
from g... | 18,128 | 41.062645 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/dqn.py | """Deep Q-Learning Network algorithm."""
import akro
from dowel import tabular
import numpy as np
import tensorflow as tf
from garage import _Default, make_optimizer
from garage import log_performance
from garage.np import obtain_evaluation_samples
from garage.np import samples_to_tensors
from garage.np.algos import R... | 13,235 | 39.231003 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/erwr.py | """Episodic Reward Weighted Regression."""
from garage.tf.algos.vpg import VPG
from garage.tf.optimizers import LbfgsOptimizer
class ERWR(VPG):
"""Episodic Reward Weighted Regression [1].
Note:
This does not implement the original RwR [2]_ that deals with
"immediate reward problems" since it ... | 5,410 | 46.052174 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/npo.py | """Natural Policy Gradient Optimization."""
# pylint: disable=wrong-import-order
import collections
from dowel import logger, tabular
import numpy as np
import tensorflow as tf
from garage import log_performance, TrajectoryBatch
from garage import make_optimizer
from garage.misc import tensor_utils as np_tensor_utils... | 26,617 | 40.268217 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/ppo.py | """Proximal Policy Optimization."""
from garage.tf.algos.npo import NPO
from garage.tf.optimizers import FirstOrderOptimizer
class PPO(NPO):
"""Proximal Policy Optimization.
See https://arxiv.org/abs/1707.06347.
Args:
env_spec (garage.envs.EnvSpec): Environment specification.
policy (gar... | 4,801 | 44.733333 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/reps.py | """Relative Entropy Policy Search implementation in Tensorflow."""
import collections
from dowel import logger, tabular
import numpy as np
import scipy.optimize
import tensorflow as tf
from garage import _Default, make_optimizer
from garage import log_performance, TrajectoryBatch
from garage.np.algos import RLAlgorit... | 21,822 | 35.92555 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/rl2.py | """Module for RL2.
This module contains RL2, RL2Worker and the environment wrapper for RL2.
"""
import abc
import collections
import akro
from dowel import logger
import gym
import numpy as np
from garage import log_multitask_performance, TrajectoryBatch
from garage.envs import EnvSpec
from garage.misc import tensor... | 17,279 | 32.166987 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/rl2ppo.py | """Proximal Policy Optimization for RL2."""
from garage.tf.algos import RL2
from garage.tf.optimizers import FirstOrderOptimizer
class RL2PPO(RL2):
"""Proximal Policy Optimization specific for RL^2.
See https://arxiv.org/abs/1707.06347 for algorithm reference.
Args:
rl2_max_path_length (int): Ma... | 5,654 | 46.521008 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/rl2trpo.py | """Trust Region Policy Optimization for RL2."""
from garage.tf.algos import RL2
from garage.tf.optimizers import ConjugateGradientOptimizer
from garage.tf.optimizers import PenaltyLbfgsOptimizer
class RL2TRPO(RL2):
"""Trust Region Policy Optimization specific for RL^2.
See https://arxiv.org/abs/1502.05477.
... | 6,244 | 45.604478 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/td3.py | """This module implements a TD3 model.
TD3, or Twin Delayed Deep Deterministic Policy Gradient, uses actor-critic
method to optimize the policy and reward prediction. Notably, it uses the
minimum value of two critics instead of one to limit overestimation.
"""
from collections import deque
from dowel import logger, t... | 19,248 | 40.130342 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/te.py | """Task Embedding Algorithm."""
from collections import defaultdict
import numpy as np
from garage import TrajectoryBatch
from garage.sampler import DefaultWorker
class TaskEmbeddingWorker(DefaultWorker):
"""A sampler worker for Task Embedding Algorithm.
In addition to DefaultWorker, this worker adds one-h... | 5,135 | 35.94964 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/te_npo.py | """Natural Policy Optimization with Task Embeddings."""
# pylint: disable=too-many-lines
import akro
from dowel import Histogram, logger, tabular
import numpy as np
import scipy.stats
import tensorflow as tf
from garage import InOutSpec, log_performance, TrajectoryBatch
from garage.experiment import deterministic
from... | 44,443 | 39.588128 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/te_ppo.py | """Proximal Policy Optimization with Task Embedding."""
from garage.tf.algos.te_npo import TENPO
from garage.tf.optimizers import FirstOrderOptimizer
class TEPPO(TENPO):
"""Proximal Policy Optimization with Task Embedding.
See https://karolhausman.github.io/pdf/hausman17nips-ws2.pdf for algorithm
referen... | 5,585 | 45.941176 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/tnpg.py | """Truncated Natural Policy Gradient."""
from garage.tf.algos.npo import NPO
from garage.tf.optimizers import ConjugateGradientOptimizer
class TNPG(NPO):
"""Truncated Natural Policy Gradient.
TNPG uses Conjugate Gradient to compute the policy gradient.
Args:
env_spec (garage.envs.EnvSpec): Envir... | 4,992 | 45.231481 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/trpo.py | """Trust Region Policy Optimization."""
from garage.tf.algos.npo import NPO
from garage.tf.optimizers import ConjugateGradientOptimizer
from garage.tf.optimizers import PenaltyLbfgsOptimizer
class TRPO(NPO):
"""Trust Region Policy Optimization.
See https://arxiv.org/abs/1502.05477.
Args:
env_spe... | 5,188 | 44.121739 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/algos/vpg.py | """Vanilla Policy Gradient."""
from garage.tf.algos.npo import NPO
from garage.tf.optimizers import FirstOrderOptimizer
class VPG(NPO):
"""Vanilla Policy Gradient.
Args:
env_spec (garage.envs.EnvSpec): Environment specification.
policy (garage.tf.policies.StochasticPolicy): Policy.
ba... | 4,891 | 44.296296 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/baselines/__init__.py | """Baseline estimators for TensorFlow-based algorithms."""
from garage.tf.baselines.continuous_mlp_baseline import ContinuousMLPBaseline
from garage.tf.baselines.gaussian_cnn_baseline import GaussianCNNBaseline
from garage.tf.baselines.gaussian_mlp_baseline import GaussianMLPBaseline
__all__ = [
'ContinuousMLPBase... | 383 | 33.909091 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/baselines/continuous_mlp_baseline.py | """A value function (baseline) based on a MLP model."""
import numpy as np
from garage.np.baselines import Baseline
from garage.tf.regressors import ContinuousMLPRegressor
class ContinuousMLPBaseline(Baseline):
"""A value function using a MLP network.
It fits the input data by performing linear regression
... | 2,590 | 27.788889 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/baselines/gaussian_cnn_baseline.py | """Gaussian CNN Baseline."""
import akro
import numpy as np
from garage.misc.tensor_utils import normalize_pixel_batch
from garage.np.baselines import Baseline
from garage.tf.regressors import GaussianCNNRegressor
class GaussianCNNBaseline(Baseline):
"""GaussianCNNBaseline With Model.
It fits the input data... | 3,478 | 30.342342 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/baselines/gaussian_mlp_baseline.py | """A value function (baseline) based on a GaussianMLP model."""
import numpy as np
from garage.np.baselines import Baseline
from garage.tf.regressors import GaussianMLPRegressor
class GaussianMLPBaseline(Baseline):
"""Gaussian MLP Baseline with Model.
It fits the input data to a gaussian distribution estima... | 2,780 | 27.96875 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/distributions/__init__.py | # flake8: noqa
from garage.tf.distributions.distribution import Distribution
from garage.tf.distributions.bernoulli import Bernoulli
from garage.tf.distributions.categorical import Categorical
from garage.tf.distributions.diagonal_gaussian import DiagonalGaussian
from garage.tf.distributions.recurrent_categorical impor... | 596 | 32.166667 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/distributions/bernoulli.py | # flake8: noqa
# pylint: skip-file
import numpy as np
import tensorflow as tf
from garage.tf.distributions.distribution import Distribution
TINY = 1e-8
class Bernoulli(Distribution):
def __init__(self, dim, name='Bernoulli'):
self._name = name
self._dim = dim
@property
def dim(self):
... | 2,871 | 33.60241 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/distributions/categorical.py | # flake8: noqa
# pylint: skip-file
import numpy as np
import tensorflow as tf
from garage.tf.distributions.distribution import Distribution
from garage.tf.misc.tensor_utils import compile_function
TINY = 1e-8
def from_onehot(x_var):
ret = np.zeros((len(x_var), ), 'int32')
nonzero_n, nonzero_a = np.nonzero(x... | 4,788 | 36.124031 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/distributions/diagonal_gaussian.py | """Diagonal Gaussian Distribution."""
import numpy as np
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.distributions.distribution import Distribution
class DiagonalGaussian(Distribution):
"""Diagonal Gaussian Distribution.
Args:
dim (int): Dimension of the distri... | 7,668 | 33.545045 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/distributions/distribution.py | """Distributions Base."""
class Distribution:
"""Base class for distribution."""
@property
def dim(self):
"""int: Dimension of this distribution."""
raise NotImplementedError
def kl_sym(self, old_dist_info_vars, new_dist_info_vars, name='kl_sym'):
"""Compute the symbolic KL d... | 3,445 | 27.479339 | 76 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/distributions/recurrent_categorical.py | # flake8: noqa
# pylint: skip-file
import numpy as np
import tensorflow as tf
from garage.tf.distributions.categorical import Categorical
from garage.tf.distributions.distribution import Distribution
TINY = 1e-8
class RecurrentCategorical(Distribution):
def __init__(self, dim, name='RecurrentCategorical'):
... | 3,474 | 36.365591 | 76 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/distributions/recurrent_diagonal_gaussian.py | from garage.tf.distributions.diagonal_gaussian import DiagonalGaussian
RecurrentDiagonalGaussian = DiagonalGaussian
| 117 | 28.5 | 70 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/embeddings/__init__.py | """Embeddings."""
from garage.tf.embeddings.encoder import Encoder, StochasticEncoder
from garage.tf.embeddings.gaussian_mlp_encoder import GaussianMLPEncoder
__all__ = ['Encoder', 'StochasticEncoder', 'GaussianMLPEncoder']
| 225 | 36.666667 | 72 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/embeddings/encoder.py | """Encoders in TensorFlow."""
# pylint: disable=abstract-method
from garage.np.embeddings import Encoder as BaseEncoder
from garage.np.embeddings import StochasticEncoder as BaseStochasticEncoder
from garage.tf.models import Module, StochasticModule
class Encoder(BaseEncoder, Module):
"""Base class for encoders i... | 2,401 | 30.194805 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/embeddings/gaussian_mlp_encoder.py | """GaussianMLPEncoder."""
import numpy as np
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.embeddings import StochasticEncoder
from garage.tf.models import GaussianMLPModel, StochasticModule
class GaussianMLPEncoder(StochasticEncoder, StochasticModule):
"""GaussianMLPEncoder ... | 13,245 | 38.777778 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/misc/__init__.py | 0 | 0 | 0 | py | |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/misc/tensor_utils.py | """Tensor utility functions for tensorflow."""
from collections import namedtuple
from collections.abc import Iterable
import numpy as np
import tensorflow as tf
# pylint: disable=unused-argument
# yapf: disable
# pylint: disable=missing-return-doc, missing-return-type-doc
def compile_function(inputs, outputs, log_n... | 16,285 | 30.684825 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/__init__.py | """Network Models."""
from garage.tf.models.categorical_cnn_model import CategoricalCNNModel
from garage.tf.models.categorical_gru_model import CategoricalGRUModel
from garage.tf.models.categorical_lstm_model import CategoricalLSTMModel
from garage.tf.models.categorical_mlp_model import CategoricalMLPModel
from garage.... | 1,713 | 52.5625 | 75 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/categorical_cnn_model.py | """Categorical CNN Model.
A model represented by a Categorical distribution
which is parameterized by a convolutional neural network (CNN)
followed a multilayer perceptron (MLP).
"""
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models.categorical_mlp_model import CategoricalMLPMo... | 5,373 | 41.992 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/categorical_gru_model.py | """Categorical GRU Model.
A model represented by a Categorical distribution
which is parameterized by a Gated Recurrent Unit (GRU).
"""
import tensorflow as tf
import tensorflow_probability as tfp
from garage.experiment import deterministic
from garage.tf.models.gru_model import GRUModel
class CategoricalGRUModel(G... | 5,604 | 42.789063 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/categorical_lstm_model.py | """Categorical LSTM Model.
A model represented by a Categorical distribution
which is parameterized by a Long short-term memory (LSTM).
"""
import tensorflow as tf
import tensorflow_probability as tfp
from garage.experiment import deterministic
from garage.tf.models.lstm_model import LSTMModel
class CategoricalLSTM... | 7,030 | 43.220126 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/categorical_mlp_model.py | """Categorical MLP Model.
A model represented by a Categorical distribution
which is parameterized by a multilayer perceptron (MLP).
"""
import tensorflow as tf
import tensorflow_probability as tfp
from garage.experiment import deterministic
from garage.tf.models.mlp_model import MLPModel
class CategoricalMLPModel(... | 3,627 | 38.868132 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/cnn.py | """CNN in TensorFlow."""
import tensorflow as tf
from garage.experiment import deterministic
def cnn(input_var,
filters,
strides,
name,
padding,
hidden_nonlinearity=tf.nn.relu,
hidden_w_init=tf.initializers.glorot_uniform(
seed=deterministic.get_tf_seed_st... | 7,874 | 43.491525 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/cnn_mlp_merge_model.py | """CNN and MLP Merge Model."""
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models.cnn_model import CNNModel
from garage.tf.models.cnn_model_max_pooling import CNNModelWithMaxPooling
from garage.tf.models.mlp_merge_model import MLPMergeModel
from garage.tf.models.model import Mode... | 7,692 | 44.791667 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/cnn_model.py | """CNN Model."""
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models.cnn import cnn
from garage.tf.models.model import Model
class CNNModel(Model):
"""CNN Model.
Args:
filters (Tuple[Tuple[int, Tuple[int, int]], ...]): Number and dimension
of filters... | 3,003 | 38.526316 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/cnn_model_max_pooling.py | """CNN Model."""
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models.cnn import cnn_with_max_pooling
from garage.tf.models.model import Model
class CNNModelWithMaxPooling(Model):
"""CNN Model with max pooling.
Args:
filters (Tuple[Tuple[int, Tuple[int, int]], ..... | 3,633 | 39.831461 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/gaussian_cnn_model.py | """GaussianCNNModel."""
import numpy as np
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.distributions import DiagonalGaussian
from garage.tf.models.cnn import cnn
from garage.tf.models.mlp import mlp
from garage.tf.models.model import Model
from garage.tf.models.parameter import p... | 15,250 | 46.363354 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/gaussian_gru_model.py | """Gaussian GRU Model.
A model represented by a Gaussian distribution
which is parameterized by a Gated Recurrent Unit (GRU).
"""
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from garage.experiment import deterministic
from garage.tf.models.gru import gru
from garage.tf.models.model... | 10,676 | 41.369048 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/gaussian_lstm_model.py | """Gaussian LSTM Model.
A model represented by a Gaussian distribution
which is parameterized by a Long short-term memory (LSTM).
"""
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from garage.experiment import deterministic
from garage.tf.models.lstm import lstm
from garage.tf.models... | 12,429 | 42.310105 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/gaussian_mlp_model.py | """Gaussian MLP Model.
A model represented by a Gaussian distribution
which is parameterized by a multilayer perceptron (MLP).
"""
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from garage.experiment import deterministic
from garage.tf.models.mlp import mlp
from garage.tf.models.mode... | 12,278 | 44.817164 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/gru.py | """GRU in TensorFlow."""
import tensorflow as tf
def gru(name,
gru_cell,
all_input_var,
step_input_var,
step_hidden_var,
output_nonlinearity_layer,
hidden_state_init=tf.zeros_initializer(),
hidden_state_init_trainable=False):
r"""Gated Recurrent Unit (GRU).
... | 2,361 | 37.721311 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/gru_model.py | """GRU Model.
A model composed only of a Gated Recurrent Unit (GRU).
"""
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models.gru import gru
from garage.tf.models.model import Model
class GRUModel(Model):
"""GRU Model.
Args:
output_dim (int): Dimension of the ne... | 6,740 | 37.965318 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/lstm.py | """LSTM in TensorFlow."""
import tensorflow as tf
def lstm(name,
lstm_cell,
all_input_var,
step_input_var,
step_hidden_var,
step_cell_var,
output_nonlinearity_layer,
hidden_state_init=tf.zeros_initializer(),
hidden_state_init_trainable=False,
... | 3,458 | 40.674699 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/lstm_model.py | """LSTM Model.
A model composed only of a long-short term memory (LSTM).
"""
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models.lstm import lstm
from garage.tf.models.model import Model
class LSTMModel(Model):
"""LSTM Model.
Args:
output_dim (int): Dimension o... | 8,038 | 38.79703 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/mlp.py | """MLP in TensorFlow."""
import tensorflow as tf
from garage.experiment import deterministic
def mlp(input_var,
output_dim,
hidden_sizes,
name,
input_var2=None,
concat_layer=-2,
hidden_nonlinearity=tf.nn.relu,
hidden_w_init=tf.initializers.glorot_uniform(
... | 4,569 | 43.803922 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/mlp_dueling_model.py | """MLP Dueling Model."""
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models.mlp import mlp
from garage.tf.models.model import Model
class MLPDuelingModel(Model):
"""MLP Model with dueling network structure.
Args:
output_dim (int): Dimension of the network outpu... | 4,871 | 43.697248 | 78 | py |