Reinforcement Learning
stable-baselines3
seals/Swimmer-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use HumanCompatibleAI/sac-seals-Swimmer-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use HumanCompatibleAI/sac-seals-Swimmer-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="HumanCompatibleAI/sac-seals-Swimmer-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
File size: 441 Bytes
2214951 | 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 | !!python/object/apply:collections.OrderedDict
- - - batch_size
- 128
- - buffer_size
- 100000
- - gamma
- 0.995
- - learning_rate
- 0.00039981805535514633
- - learning_starts
- 1000
- - n_timesteps
- 1000000.0
- - policy
- MlpPolicy
- - policy_kwargs
- log_std_init: -2.689958330139309
net_arch:
- 400
- 300
use_sde: false
- - tau
- 0.01
- - train_freq
- 256
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