Reinforcement Learning
ml-agents
ONNX
ML-Agents-SnowballTarget
SnowballTarget
deep-rl-course
ppo
Eval Results (legacy)
Instructions to use Learnix-AI-Lab/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Learnix-AI-Lab/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="Learnix-AI-Lab/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download configuration.yaml from Learnix-AI-Lab/ppo-SnowballTarget: direct link, hf CLI and curl.
- Browser
- Download file 511 Bytes
-
https://huggingface.co/Learnix-AI-Lab/ppo-SnowballTarget/resolve/main/configuration.yaml
- Command line
-
hf download hf://Learnix-AI-Lab/ppo-SnowballTarget/configuration.yaml
-
curl -L -o configuration.yaml https://huggingface.co/Learnix-AI-Lab/ppo-SnowballTarget/resolve/main/configuration.yaml
511 Bytes
| default_settings: null | |
| behaviors: | |
| SnowballTarget: | |
| trainer_type: ppo | |
| hyperparameters: | |
| batch_size: 128 | |
| buffer_size: 2048 | |
| learning_rate: 0.0003 | |
| beta: 0.005 | |
| epsilon: 0.2 | |
| lambd: 0.95 | |
| num_epoch: 3 | |
| network_settings: | |
| normalize: false | |
| hidden_units: 128 | |
| num_layers: 2 | |
| reward_signals: | |
| extrinsic: | |
| gamma: 0.99 | |
| strength: 1.0 | |
| max_steps: 500000 | |
| time_horizon: 64 | |
| summary_freq: 10000 | |
| env_id: ML-Agents-SnowballTarget | |