reinforcement

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

Reinforcement learning models in ViZDoom environment

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

Gym environments and agents for autonomous driving.

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

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

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

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

Solvers for optimization problems with an emphasis on reinforcement learning and GPU computing.

Gym-like extensions for POMDP

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.

Reinforcement Workbench for FreeCAD

Autonomous Drone for Object Tracking

🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄

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

Sidekick Policy Learning for Active Visual Exploration (ECCV 2018)

[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.