TianQi-777

awesome-offline-rl

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

causalcity.github.io

dcdi

Repository for "Differentiable Causal Discovery from Interventional Data"

dcg

deeprl_network

multi-agent deep reinforcement learning for networked system control.

dreamer-pytorch

Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.

dreamer-pytorch-1

pytorch-implementation of Dreamer (Model-based Image RL Algorithm)

gym-minigrid

Minimalistic gridworld package for OpenAI Gym

IC3Net

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

ICQ

Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)

inference-based-messaging

Implementation of “Inference-based Deterministic Messaging For Multi-Agent Communication”.

lab2d

A customisable 2D platform for agent-based AI research

MOReL

Model-Based Offline Reinforcement Learning

mpo

PyTorch Implementation of the Maximum a Posteriori Policy Optimisation

multi-agent-neurosym-transformers

Neurosymbolic transformers for multi-agent communication.

Multi-Agent-Reinforcement-Learning-Environment

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

MultiAgentPerception

Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"

OfflineRL

A collection of offline reinforcement learning algorithms. Codes are cloned from https://agit.ai/Polixir/OfflineRL

on-policy

This is the official implementation of Multi-Agent PPO.

PettingZoo

Gym for multi-agent reinforcement learning

pymarl2

Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

RecBole

A unified, comprehensive and efficient recommendation library

Reinforcement-learning

Modular implementations of reinforcement learning algorithms with PyTorch

SMAC

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

sumo

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

TEDVAE

TMC

Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"

xingtian

xingtian is a componentized library for the development and verification of reinforcement learning algorithms