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
File size: 367 Bytes
f21d5b3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | !!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
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