Reinforcement Learning
stable-baselines3
Pendulum-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use qgallouedec/ars-Pendulum-v1-2693477467 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use qgallouedec/ars-Pendulum-v1-2693477467 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="qgallouedec/ars-Pendulum-v1-2693477467", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
| !!python/object/apply:collections.OrderedDict | |
| - - - delta_std | |
| - 0.1 | |
| - - learning_rate | |
| - 0.018 | |
| - - n_delta | |
| - 4 | |
| - - n_envs | |
| - 1 | |
| - - n_timesteps | |
| - 2000000.0 | |
| - - n_top | |
| - 1 | |
| - - normalize | |
| - dict(norm_obs=True, norm_reward=False) | |
| - - policy | |
| - MlpPolicy | |
| - - policy_kwargs | |
| - dict(net_arch=[16]) | |
| - - zero_policy | |
| - false | |