Top 962 reinforcement-learning open source projects

Autonomous Drifting using Reinforcement Learning

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

Reinforcement learning using rlkit, UR5, Robotiq gripper on ROS(Robot Operating System)

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

MATLAB example on how to use Reinforcement Learning for developing a financial trading model

Reinforcement learning in haskell

Connect4 reinforcement learning by AlphaGo Zero methods.

Samples for TensorFlow binding for .NET by Lost Tech

An Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统，一键部署微信闲聊机器人)

DQN to play Atari Pong

This repository contains the data and code for the paper "An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation" (EMNLP2019).

Research publications in Computer Vision Journals and Conferences (and arxiv) using RL.Visit Website:

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games …

Markov Decision Processes in Python

Simple Reinforcement Learning Framework

juliareinforcementlearning.org/

PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym

StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX

A collection of multi-agent reinforcement learning OpenAI gym environments

The code for the SRDQN algorithm to train an agent for the beer game problem

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Planning and Control Algorithms for Robotics

🔬 Absolutely comfort lab for me to work around with my own AIs and to empirically observe how powerful and impactful these technologies are. I do love these technologies!

Deep Reinforcement learning and Python learn how to play the original Super Mario Bros

My notes on reinforcement learning papers

ROS & Gazebo project for 1/10th scale self-driving race cars

a neural network that draws digits using strokes

A beginner's roadmap to getting started in Machine Learning, by COPS IIT(BHU).

Chess reinforcement learning by AlphaZero methods.

Reinforcement Learning and Deep Learning Resources

Introduction to Deep Reinforcement Learning

Author implementation of "Learning to Search in Long Documents Using Document Structure" (Mor Geva and Jonathan Berant, 2018)

Examples of using Neptune to keep track of your experiments (maintenance only).

Implementation of HER algorithm in the bit-flipping environment.

Reading list for research topics in multimodal machine learning

Line follower robot simulator environment for Open AI Gym.

Some Deep learning tools in Unity using CNTK

Open-source library for a reinforcement learning research.

Research repo of RL

A library of multi-agent reinforcement learning components and systems

A collection of pre-trained RL agents using Stable Baselines3

Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video (AAAI2020)

Demo project using tabular Q-learning algorithm

Benchmarking the Spectrum of Agent Capabilities

An exploration of the free energy principle using deep reinforcement learning

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

AI framework for Reinforcement Learning, Automated Planning and Scheduling

Deep Reinforcement Learning Algorithms Implementation in PyTorch

Deep Developmental Reinforcement Learning

Deep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.

MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

In-browser reinforcement learning for flappy bird 🐦

Reinforcement learning library with JavaScript.

🎳 Environments for Reinforcement Learning

A library for doing RL research on Android devices.

Tensorflow implementation of A3C algorithm

[NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"