Top 962 reinforcement-learning open source projects

Basic reinforcement learning implementation with tensorflow version 2.0

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

List of summer schools in machine learning + related fields across the globe

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Behavior Optimization and Learning for Robots

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).

Implementation of the Deep Q-learning algorithm to solve MDPs

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

For deep RL and the future of AI.

Framework for building algorithms based on FractalAI

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Using deep reinforcement learning to tackle the game 2048.

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Conversational AI Reading Materials

Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

An OpenAI Gym Env for Panda

Efficient Batched Reinforcement Learning in TensorFlow

Seoul AI Gym is a toolkit for developing AI algorithms.

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

🔬 A curated list of awesome machine learning strategies & tools in financial market.

Essential Guide to keep up with AI/ML/DL/CV

OpenAI Gym environments using DART

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Actor-Critic Instance Segmentation (CVPR 2019)

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Reinforcement Learning Algorithms

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

Flappy Bird hack using Reinforcement Learning

Reinforcement Learning Assignment: Easy21

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Simulation of spiking neural networks (SNNs) using PyTorch.

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Codebase for the Summary Loop paper at ACL2020

The Machine Learning Toybox for testing the behavior of autonomous agents.

ChainerRL is a deep reinforcement learning library built on top of Chainer.

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

backtrader with DRL ( Deep Reinforcement Learning)

This repository features game simulations as machine learning environments to experiment with deep learning approaches such as deep reinforcement learning inside of Unity.

Cornell Instruction Following Framework

Advanced Deep Learning with Keras, published by Packt

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Implementation of Scheduled Policy Optimization for task-oriented language grouding

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Convert sc2 environment to gym-atari and play some mini-games

My experimentations with Reinforcement Learning in Pytorch

Aim — a super-easy way to record, search and compare 1000s of ML training runs

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.