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reinforce-CartPole-v1
maurorisonho/reinforce-CartPole-v1
reinforce-CartPole-v1 is a reinforcement learning model from maurorisonho. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
This model is a custom PyTorch implementation of the REINFORCE (Monte Carlo Policy Gradient) algorithm, developed for the Hugging Face Deep Reinforcement Learning Course (Unit 4).
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Updated Sep 20, 2026
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At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Sep 20, 2026
- Updated
- Sep 20, 2026
- SHA
- 6e6c6e7a
Model card
From the Hugging Face model README
Policy Gradient (REINFORCE) Agent Playing CartPole-v1
This model is a custom PyTorch implementation of the REINFORCE (Monte Carlo Policy Gradient) algorithm, developed for the Hugging Face Deep Reinforcement Learning Course (Unit 4).
🚀 Model Details
- Environment: Gymnasium
CartPole-v1 - Algorithm: REINFORCE with Normalized Returns
- Mean Reward: 470.0 (Passing score: >= 350.0)
- Framework: Pure PyTorch
- Status: Officially Verified & Certified
- Task
- Reinforcement Learning
- Created
- Sep 20, 2026
- Updated
- Sep 20, 2026