Python library for Reinforcement Learning.

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Deep Reinforcement Learning library for humans

R.L. methods and techniques.

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

MinRL provides clean, minimal implementations of fundamental reinforcement learning algorithms in a customizable GridWorld environment. The project focuses on educational clarity and implementation simplicity while maintaining production-quality code standards.

An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning

Graph-based Deep Q Network for Web Navigation

Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874

A model car learns driving along a track using reinforcement learning

A simple reinforcement learning simulation engine for OpenAI's gym.

Multi-agent reinforcement learning framework

Value iteration, policy iteration, and Q-Learning in a grid-world MDP.

The goal of the project was to design the logistic model of autonomous robots that would supply garment parts from the Cutting Dept to the Makeup Dept in the shortest time possible and using the most optimized path.

CartPole game by Reinforcement Learning, a journey from training to inference

Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow

Snake using RL

Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto

Q learning AI bot perceiving environment with CNN

Q-learning and SARSA algorithms from Sutton's Reinforcement Learning book.