Ppo LunarLander v3 | Sweet Tea Studio
Resources / Ppo LunarLander v3 Ppo LunarLander v3 PPO Agent playing LunarLander-v3 This is a trained model of a PPO agent playing LunarLander-v3 using the stable-baselines3 library. Usage (with Stable-baselines3) TODO: Add your code
Verified source
Kind reinforcement-learning Version vff18e427a291be02b8843060824c27c1a3a5691e Publisher @HardikLovesTech C grade Model source
Kind reinforcement-learning
Version vff18e427a291be02b8843060824c27c1a3a5691e
Source Hugging Face --- library_name: stable-baselines3 tags: - LunarLander-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v3 type: LunarLander-v3 metrics: - type: mean_reward value: 274.44 +/- 16.52 name: mean_reward verified: false --- # **PPO** Agent playing **LunarLander-v3** This is a trained model of a **PPO** agent playing **LunarLander-v3** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3). ## Usage (with Stable-baselines3) TODO: Add your code ```python from stable_baselines3 import ... from huggingface_sb3 import load_from_hub ... ```
Sources & provenance
1 active source Source evidence
3 excerpts libraryname: stable-baselines3 tags: LunarLander-v3 deep-reinforcement-learning reinforcement-learning stable-baselines3 model-index: name: PPO results: task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v3 type:…
Summary
Jul 11
PPO Agent playing LunarLander-v3 This is a trained model of a PPO agent playing LunarLander-v3 using the stable-baselines3 library. Usage (with Stable-baselines3) TODO: Add your code
HardikLovesTech/ppo-LunarLander-v3
