About this document
Reinforcment 7 by 2303a51228 is a document available to read on EtoBox.
The document presents a Python implementation of the REINFORCE algorithm using PyTorch and the Gymnasium library for reinforcement learning. It defines a policy network, computes returns, and trains the model over 1000 episodes on the CartPole-v1 environment, reporting average returns every 100 episodes. The results indicate improved performance over time, achieving an average return of 500.00 by the end of training.
- Author
- 2303a51228
- Language
- EN