Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use garybake/TEST2ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use garybake/TEST2ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="garybake/TEST2ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit History
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ppo_lunar_16_best_tune
769e9ad
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ppo_lunar_11_32Envs_BigBuffer
c648661 -
ppo_lunar_11_32Envs_BigBuffer
4d4a2b6 -
ppo_lunar_11_32Envs_BigBuffer
8ec820b -
ppo_lunar_11_32Envs_BigBuffer
e19abe3 -
ppo_lunar_11_32Envs_BigBuffer
4a3bd08 -
ppo_lunar_09_back_to_best
1245b80
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ppo_lunar_07_gamma_ent_coef
58966e7 -
ppo_lunar_1500k_exp01
1b071c3 -
ppo_lunar_1500k_exp01
e5c4cb2 -
Moare training and tensorboard
58ef572
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First tuning
e42994a
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First tuning
535fb9b -
First local run
f08b653 -
First commit
2ac4d36 -
initial commit
72bc13e