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

  1. Clone the repository:
git clone https://huggingface.co/jatinror/cartpole-ppo-agent
cd cartpole-ppo-agent

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