Reinforcement Learning
stable-baselines3
Hopper-v3
deep-reinforcement-learning
Hopper-v4
Eval Results (legacy)
Instructions to use qgallouedec/trpo-Hopper-v3-1865505172 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use qgallouedec/trpo-Hopper-v3-1865505172 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="qgallouedec/trpo-Hopper-v3-1865505172", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
File size: 413 Bytes
488f9ca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | !!python/object/apply:collections.OrderedDict
- - - batch_size
- 128
- - cg_damping
- 0.1
- - cg_max_steps
- 25
- - gae_lambda
- 0.95
- - gamma
- 0.99
- - learning_rate
- 0.001
- - n_critic_updates
- 20
- - n_envs
- 2
- - n_steps
- 1024
- - n_timesteps
- 1000000.0
- - normalize
- true
- - policy
- MlpPolicy
- - sub_sampling_factor
- 1
|