A selection of state-of-the-art research materials on trajectory prediction

SMAC: The StarCraft Multi-Agent Challenge

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

Smart Python Agent Development Environment

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

Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília

General-purpose discrete-event multiagent simulation library for agent-based modelling and simulation

A curated list of multiagent learning and related area resources.

Conflict-based search for multi-agent path finding

Lightweight multi-agent gridworld Gym environment

Light-weight reasoning-loop agent library for JavaScript

Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.

Multiagent hybrid simulator of road traffic in Qt/C++ and OpenStreetMap.

Bebop Drone flying programmatically with ROS and Bebop_Driver

Equilibrium Verification Environment (EVE) is a formal verification tool for the automated analysis of temporal equilibrium properties of concurrent and multi-agent systems.

A multi-agent soccer simulator in a grid-world environment, with agents implementing different reinforcement learning algorithms

Similar2Logo is a Logo-like multiagent-based simulation environment based on the SIMILAR API.

Code to do multi agent systems research on StarCraft II. It contains methods to deal with the Raw Interface from the SC2 API, which has not been officially adapted for Python. This means that, the programmer can now access the objects at the game and the 2D original representation of the map

Example application demonstrating how to run ESL auction simulations and analyze results using Python.

Microgrid Transactive Energy Smart Contract

An IoT Framework for your home with a Multi-Agent Smart Alarm System on top of it.

A Starcraft Broodwar bot

Fully Cooperative Multi-Agent Deep Reinforcement Learning

Similar is a Multi-Level Agent-Based Modeling formal meta-model based on the Influence Reaction model. It is implemented in Java and released under the CeCILL-B license.

Tight multi robot coordination for a multi agent system where the communication range is constrained and the agents need to coordinate and reach there goal destination without violating the range barrier in an obstacle environment.

Emergence of complex strategies through multiagent competition

Simulation of bubbles in liquid foams using matlab

An OpenAI gym multi-agent environment implementing the Commons Game proposed in "A multi-agent reinforcement learning model of common-pool resource appropriation"

Implementation of knowledge base (KB) abilities for agents developed in SPADE (Smart Python Agent Development Environment). The finalised product should enable agents to cope with personal and global knowledge bases explicated using logical statements in various languages, or RDF/OWL files.