Top 962 reinforcement-learning open source projects

OpenAI's Gym written in pure Rust for blazingly fast performance

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

Ranking Policy Gradient

Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

Deep-Q-Network reinforcement learning algorithm applied to a simple 2d-car-racing environment

ADAM implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning

Deep Learning and Reinforcement Learning 学习资料

☔ Deep RL agents with PyTorch☔

Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab.

Feature selection for maximizing expected cumulative reward

Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.

Knowledge-Aware RL agents with Commonsense Reasoning

Hybrid Reward Architecture

Codebase for Efficient yet simple Reinforcement Learning Research Framework

RL Reach is a platform for running reproducible reinforcement learning experiments.

Functional Reinforcement Learning in Scala.

⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

An index of algorithms for offline reinforcement learning (offline-rl)

Awesome RL: Papers, Books, Codes, Benchmarks

List of various interesting papers

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"

Minimal implementations of reinforcement learning algorithms by Tensorflow

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout

Implementation of Domain Adaption in One-Shot Learning

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

Reinforcement Learning framework for Robotics

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Guided policy search in Python and ROS Indigo.

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)

Reinforcement Learning algorithm's using google-colab

World Models applied to the Open AI Sonic Retro Contest

An implementation of the AlphaZero algorithm for chess

RealAnt robot platform for low-cost, real-world reinforcement learning

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

An easy-to-use reinforcement learning library for research and education.

A tool for recording RL trajectories.

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

Repositório de Aprendizado por Reforço desenvolvido pelo Turing USP

Combining deep learning and reinforcement learning.

An example implementation of an OpenAI Gym environment used for a Ray RLlib tutorial

for learning reinforcement learning using PyTorch.

A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources

Deep Reinforcement Learning A3C Crypto Trading Bot

A simple Reinforcement Learning project written in Swift

Reinforcement learning algorithms

Modeling agents with probabilistic programs

Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)

List of environments and competitions for RL and AI training

An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.

A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning