Add REINFORCE policy gradient example for CartPole using Flax NNX #5036
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Description
This PR adds a complete implementation of the REINFORCE policy gradient algorithm using Flax NNX for the CartPole-v1 environment.
Motivation
Implementation Details
Algorithm: REINFORCE (Williams, 1992) - Monte Carlo policy gradient method
Architecture:
Training:
Environment: CartPole-v1 via Gymnax
What's Included
examples/reinforce/simple_reinforce.ipynb- Complete Jupyter notebook with:examples/reinforce/README.md- Comprehensive documentationexamples/reinforce/requirements.txt- All dependenciesexamples/reinforce/training_rewards.png- Training curve visualizationexamples/reinforce/anim.gif- Trained agent animationPerformance