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cartpole-ppo-agent
jatinror/cartpole-ppo-agent
cartpole-ppo-agent is a reinforcement learning model from jatinror. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3. The card lists the license as apache-2.0.
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 th…
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At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- License
- apache-2.0
- Access
- Public
- Created
- Feb 17, 2026
- Updated
- Feb 17, 2026
- SHA
- 40d621f5
Model card
From the Hugging Face model README
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
-
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- License
- apache-2.0
- Created
- Feb 17, 2026
- Updated
- Feb 17, 2026