Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Python library for Reinforcement Learning.

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Deep Reinforcement Learning library for humans

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

Self parking with reinforcement learning

Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.

Web dev examples, tricks and more

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

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

Graph-based Deep Q Network for Web Navigation

This demo is a C# port of ConvNetJS RLDemo (https://cs.stanford.edu/people/karpathy/convnetjs/demo/rldemo.html) by Andrej Karpathy

Set of games and simulations designed to experiment with QLearning, Neuroevolution, and PoseNet.

In-browser reinforcement learning for flappy bird 🐦

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

A model car learns driving along a track using reinforcement learning

This is a three dimensional pathfinding algorithm visualizer project.

Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition)

Jupyter notebook containing a solution to Sutton and Barto's gridworld problem with both a random agent and a Q-learning agent.