OpenNARS for Research 3.0+

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

A PyTorch Library for Reinforcement Learning Research

Flexible, reusable reinforcement learning (Q learning) implementation in Rust

Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.

Reinforcement learning models in ViZDoom environment

🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄

Gym environments and agents for autonomous driving.

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

source code for 'Improving automatic source code summarization via deep reinforcement learning'

Energym is an open source building simulation library designed to test climate control and energy management strategies on buildings in a systematic and reproducible way.

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

Gym-like extensions for POMDP

Autonomous Drone for Object Tracking

Reinforcement Workbench for FreeCAD

Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

Lane keeping assistant using Reinforcement learning