Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

Curiosity-driven Exploration by Self-supervised Prediction

PyTorch implementation of deep reinforcement learning algorithms

Reinforcement Learning Algorithms Based on PyTorch

Series of deep reinforcement learning algorithms 🤖

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Rese…

StarCraft II Learning Environment

An offline deep reinforcement learning library

Multi-Agent Reinforcement Learning (MARL) papers

A library of reinforcement learning components and agents

Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning

Learn to Steer through Deep Reinforcement Learning

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Massively Parallel Deep Reinforcement Learning. 🔥

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

A pack of reinforcement learning algorithms.

This project is implementation code of AlphaStar

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

This repository provides simulator codes for predicting and tracking popular discussion threads on Reddit

Multi-Objective Reinforcement Learning

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Environments for OR and RL Research