Reinforcement Learning
stable-baselines3
BLAdapEnv
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use s6anripk/BL-ADAP-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use s6anripk/BL-ADAP-1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="s6anripk/BL-ADAP-1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
| { | |
| "policy_class": { | |
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| "__module__": "stable_baselines3.td3.policies", | |
| "__doc__": "\n Policy class (with both actor and critic) for TD3 to be used with Dict observation spaces.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n :param n_critics: Number of critic networks to create.\n :param share_features_extractor: Whether to share or not the features extractor\n between the actor and the critic (this saves computation time)\n ", | |
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| "__abstractmethods__": "frozenset()", | |
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| "policy_kwargs": { | |
| "net_arch": [ | |
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| 256, | |
| 256 | |
| ], | |
| "n_critics": 1 | |
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| "_total_timesteps": 100, | |
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| "seed": 188156, | |
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| "bounded_above": "[ True True True True]", | |
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| "batch_size": 256, | |
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| "tau": 0.005, | |
| "gamma": 0.95, | |
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| "goal_selection_strategy": "future", | |
| "copy_info_dict": true | |
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| "train_freq": { | |
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| }, | |
| "actor_batch_norm_stats": [], | |
| "critic_batch_norm_stats": [], | |
| "actor_batch_norm_stats_target": [], | |
| "critic_batch_norm_stats_target": [] | |
| } |