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

Repository for Open Source Reinforcement Learning Framework JORLDY

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Quantum Multi-agent Reinforcement Learning (QMARL)

Tensorflow 2.0 Reinforcement Learning

An educational resource to help anyone learn deep reinforcement learning.

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …

Collection of reinforcement learning algorithms

road-map & paper review for Reinforcement Learning

텐서플로우2로 구현한 트랜스포머 챗봇 구현체 (TensorFlow implementation of 'Attention Is All You Need')

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

<펭귄브로의 3분 딥러닝, 파이토치맛> 예제 코드

SMAC: The StarCraft Multi-Agent Challenge

Repo for the multi-agent PressurePlate environment

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Python Multi-Agent Reinforcement Learning framework

StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX