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.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Learning to trade under the reinforcement learning framework

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Flappy Bird Bot using 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!

Q-learning for Keras

Deep Reinforcement Learning library for humans

:package: :whale: 0-dependency Container-based Package Manager using SAT solver and QLearning

R.L. methods and techniques.

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

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

A flappy bird using asm language with QLearning method

A powerful machine learning algorithm utilizing Q-Learning and Neural Networks, implemented using Torch and Lua.

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.

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An RL model that uses double deep Q learning to generate an optimal policy of stock market trades

Self parking with reinforcement learning

Implementation of the Deep Q-learning algorithm to solve MDPs

This repository showcases a hybrid control system combining Reinforcement Learning (Q-Learning) and Neural-Fuzzy Systems to dynamically tune a PID controller for an Autonomous Underwater Vehicle (AUV). The implementation aims to enhance precision, adaptability, and robustness in underwater environments.

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

For the tutorial blogpost

My Journey Into Deep Q-Learning with Keras and Gym

路径规划强化学习

Web dev examples, tricks and more

基于Deep Qlearning Network的股票交易模型

用 qlearning 算法走迷宫

Implementation of a simple example of Q learning in Torch.