A Platform for Many-agent Reinforcement Learning

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

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

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

A collection of multi agent environments based on OpenAI gym.

Awesome Game AI materials of Multi-Agent Reinforcement Learning

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

Block-style programming environment for multi agent system, based on MIT Scratch.

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

TensorSwarm: A framework for reinforcement learning of robot swarms.

Multi-Agent Robotics Simulator

BARK - a tool for Behavior benchmARKing.

Mobile Agent that moves on a platform distributed on many machines and recover the mac address of each machine during the deplacement

MultiAgent Development Kit - version 5

A Universal Deep Reinforcement Learning Framework

Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem

Algorithm for prioritized multi-agent path finding (MAPF) in grid-worlds. Moves into arbitrary directions are allowed (each agent is allowed to follow any-angle path on the grid). Timeline is continuous, i.e. action durations are not explicitly discretized into timesteps. Different agents' size and moving speed are supported. Planning is carried out in (x, y, \theta) configuration space, i.e. agents' orientation are taken into account.

reproduce some RL or Multi-Agent models

This is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Deep Imitation Learning" using Tensorflow

Lightweight multi-agent gridworld Gym environment

This repository contains the Matlab source codes (to use in Robotarium platform) of various rendezvous controllers for consensus control in a multi-agent / multi-robot system.

A framework for autonomous economic agent (AEA) development

Negotiation Multi-Agent System (A negotiation library designed for situated negotiations within business-like simulations)

Continuous CBS - a modification of conflict based search algorithm, that allows to perform actions (move, wait) of arbitrary duration. Timeline is not discretized, i.e. is continuous.

Multi-agent deep reinforcement learning research

Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.

Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

Curated materials for different machine learning related summer schools

Multi-agent system projects