There are 2 repositories under qlearning topic.
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
R.L. methods and techniques.
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
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.
Self parking with reinforcement learning
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning
Web dev examples, tricks and more
Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
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 model car learns driving along a track using reinforcement learning
Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition)
This is a three dimensional pathfinding algorithm visualizer project.
A simple reinforcement learning simulation engine for OpenAI's gym.
Jupyter notebook containing a solution to Sutton and Barto's gridworld problem with both a random agent and a Q-learning agent.
Quick guide and tutorial to scientific data python programming
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
Q-learning and SARSA algorithms from Sutton's Reinforcement Learning book.
Replication of "Artificial Intelligence, Algorithmic Pricing, and Collusion" by Calvano, Calzolari, Denicolò, Pastorello (2020) in Python, Matlab and Julia.
FasTack can be used to optimize sailboat routes based on wind data using reinforcement learning with value iteration and value iteration with Q-learning.
Snake using RL
Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto
Reinforcement Learning algorithm from scratch in C++.
Q learning AI bot perceiving environment with CNN
clear single-file JAX implementations of common RL algorithms