Reinforcement Learning
stable-baselines3
BipedalWalker-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use vukpetar/ppo-BipedalWalker-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use vukpetar/ppo-BipedalWalker-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="vukpetar/ppo-BipedalWalker-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
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Download README.md from vukpetar/ppo-BipedalWalker-v3: direct link, hf CLI and curl.
- Browser
- Download file 686 Bytes
-
https://huggingface.co/vukpetar/ppo-BipedalWalker-v3/resolve/main/README.md
- Command line
-
hf download hf://vukpetar/ppo-BipedalWalker-v3/README.md
-
curl -L -o README.md https://huggingface.co/vukpetar/ppo-BipedalWalker-v3/resolve/main/README.md
686 Bytes
metadata
library_name: stable-baselines3
tags:
- BipedalWalker-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 302.55 +/- 0.48
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: BipedalWalker-v3
type: BipedalWalker-v3
PPO Agent playing BipedalWalker-v3
This is a trained model of a PPO agent playing BipedalWalker-v3 using the stable-baselines3 library.
Usage (with Stable-baselines3)
TODO: Add your code