https://github.com/runtime-error786/cart-pole-rl-agent

Using Neural Network Model
https://github.com/runtime-error786/cart-pole-rl-agent

cartpole gym-environment reinforcement-learning-algorithms

Last synced: 3 months ago
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Using Neural Network Model

• Host: GitHub
• URL: https://github.com/runtime-error786/cart-pole-rl-agent
• Owner: runtime-error786
• Created: 2024-10-15T19:54:03.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-10-15T20:04:12.000Z (8 months ago)
• Last Synced: 2025-02-01T08:22:13.491Z (5 months ago)
• Topics: cartpole, gym-environment, reinforcement-learning-algorithms
• Language: Python
• Homepage:
• Size: 350 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Cart-Pole-RL-agent

 

This project implements a Q-Learning,Sarsa algorithm to solve the CartPole environment using a neural network. The goal is to balance a pole on a cart by applying forces to the cart. The agent learns to take actions to maximize its total reward over multiple episodes.