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A Python-based repository with implementations of RL algorithms, featuring visualization tools and benchmarks

Python 100.00%
actor-critic policy-evaluation qlearning-on-gridworld sarsa-lambda sarsa-learning value-iteration

reinforceme's Introduction

ReinforceMe

Welcome to ReinforceMe! This repository provides Python implementations of key Reinforcement Learning algorithms.

Algorithms covered

  • Policy Iteration
  • Value iteration
  • Q-Learning (with and without lambda)
  • SARSA (with and without lambda)
  • Actor-Critic

Getting Started

  1. Clone this repository:

    git clone https://github.com/wothmag07/ReinforceMe.git
    
  2. Install dependencies:

    pip install -r requirements.txt
    
  3. Explore the implementations in the algorithms directory.

  4. Run examples and visualize algorithm performance using the provided scripts.

License

This project is licensed under the MIT License. See the LICENSE file for details.


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