Top 63 q-learning open source projects

A life simulation for exploring social dynamics

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Free Resources For Data Science created by Shubham Kumar

playing idealized trading games with deep reinforcement learning

An environment to high-frequency trading agents under reinforcement learning

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

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.

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Master Thesis: Limit order placement with Reinforcement Learning

A deep reinforcement learning bot that plays tetris

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

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

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

tensorflow deep RL for driving a rover around

Implementation of q-learning using TensorFlow

Some notebooks

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Reinforcement Learning program that looks to be able to quickly learn to solve a Rubik's Cube

A gym environment for Stuart Armstrong's model of a treacherous turn.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Arnold - DOOM Agent

DEEp Reinforcement learning framework

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..

A curated list of Monte Carlo tree search papers with implementations.

Reinforcement Learning for Portfolio Management

Play Google Chrome's T-rex game with TensorFlow

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

A deep learning library to provide algs in pure Numpy or Tensorflow.

Stock Trading Bot using Deep Q-Learning

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

Reinforcement Learning at UCLA IPAM RIPS 2018

Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.

A Reinforcement Learning Library for C++11/14

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

Demo project using tabular Q-learning algorithm

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

arxiv.org/abs/1803.07482

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

High frequency AI based algorithmic trading module.

An RL implementation in Keras

Reinforcement Learning Demos

Reinforcement Learning in Vrep

Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic

A framework for multi-agent reinforcement learning.

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

Train a tic-tac-toe agent using reinforcement learning.

Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".

PyTorch implementation of the implicit Q-learning algorithm (IQL)

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília

🐍 AI that learns to play Snake using Q-Learning (Reinforcement Learning)

Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm