metadata
license: apache-2.0
tags:
- reinforcement-learning
- stable-baselines3
- ppo
- gym
library_name: stable-baselines3
task: reinforcement-learning
CartPole PPO Agent
This repository contains a trained PPO (Proximal Policy Optimization) agent for the CartPole-v1 environment from OpenAI Gym.
The agent is trained to balance the pole on the cart as long as possible while maximizing the reward.
Features
- Environment: OpenAI Gym
CartPole-v1 - Algorithm: Proximal Policy Optimization (PPO)
- Trained Model:
ppo_cartpole.zip - Python 3.10+ compatible
- Direct Hugging Face Integration: Load model for evaluation or further training
Installation
- Clone the repository:
git clone https://huggingface.co/jatinror/cartpole-ppo-agent
cd cartpole-ppo-agent
-