Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-class
Eval Results (legacy)
Instructions to use NithirojTripatarasit/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NithirojTripatarasit/ppo-LunarLander-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NithirojTripatarasit/ppo-LunarLander-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| {"env_id": "LunarLander-v2", "mean_reward": -131.97019709331514, "std_reward": 97.59489916371655, "n_evaluation_episodes": 10, "eval_datetime": "2022-09-08T07:34:34.425937"} |