Top 962 reinforcement-learning open source projects

API to run VirtualHome, a Multi-Agent Household Simulator

Some of the ML and DL related reading materials, research papers that I've read

Tools for using computer algebra systems to solve math problems step-by-step with reinforcement learning

Explore and find reinforcement learning environments in a list of 150+ open source environments.

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

OpenAI Gym wrapper for the DeepMind Control Suite

MuZero

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Reinforcement Learning Workshop for Data Science BKK

Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.

A Trading environment base on Gym

PyTorch implementation of Looking Fast and Slow: Memory-Guided Mobile Video Object Detection

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Reinforcement Learning in JavaScript

A power network simulator with a Reinforcement Learning-focused usage.

An advanced program in Machine Learning and Deep Learning

A selection of state-of-the-art research materials on decision making and motion planning.

Reinforcement Learning Environment for CARLA Autonomous Driving Simulator

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Machine learning and data science blog.

Notes and comments about Deep Reinforcement Learning papers

tensorflow deep RL for driving a rover around

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

Learning from zero (mostly based off of AlphaZero) in General Game Playing.

Carefully curated resource links for data science in one place

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

A Multi-agent Learning Framework

Our NIPS 2017: Learning to Run source code

Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018

Tic Tac Toe Machine Learning

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

Some JavaScript works published as demos, mostly ML or DS

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

Implementation of q-learning using TensorFlow

The notes for Math, Machine Learning, Deep Learning and Research papers.

Some notebooks

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Minimalistic gridworld package for OpenAI Gym

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

GPU Javascript Library for Machine Learning

DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Predict/log/learn/update reinforcement learning loop

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

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Implementing trajectory optimization on bipedal system

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

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Open source collection of Reinforcement Learning Environments.

Gridworld environments for OpenAI gym.