Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"

Multiagent research environment toolbox based on Unreal Engine

A multi-agent quadruped environment, supporting learning of locomotion control or merely high-level planning.

Simulation environment for multiagent drone systems using Ardupilot, ROS 2, and Gazebo enabling users to spawn and control multiple drones, configure sensors, and test autonomous behaviors in a reproducible and extensible setup.

Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single agent tasks. These methods have further been extended to multiagent domains in cooperative, competitive or mixed environments. This paper primarily focuses on multiagent cooperative settings which can be modeled for several real world problems such as coordination of autonomous vehicles and warehouse robots. However, these systems suffer from several challenges such as, structural credit assignment and partial observability. In this paper, we propose Recurrent Multiagent Deep Deterministic Policy Gradient (RMADDPG) algorithm which extends Multiagent Deep Determinisitic Policy Gradient algorithm - MADDPG \cite{lowe2017multi} by using a recurrent neural network for the actor policy. This helps to address partial observability by maintaining a sequence of past observations which networks learn to preserve in order to solve the POMDP. In addition, we use reward shaping through difference rewards to address structural credit assignment in a partially observed environment. We evaluate the performance of MADDPG and R-MADDPG with and without reward shaping in a Multiagent Particle Environment. We further show that reward shaped RMADDPG outperforms the baseline algorithm MADDPG in a partially observable environmental setting.

Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.

Snake-like openAI gym environment, both single and multiagent

Massively multiagent reinforcement learning in a slither.io like environment

Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).

Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).

FireCommander2020: A Multiagent, Interactive Joint Perception-Action Reconnaissance Environment

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

This project aims to promote the MultiAgent Programming (MAP) approach by providing a suitable integration of tools and languages for programming agents, their environment and organisation.

Simulation environment for multiagent drone systems using PX4, ROS 2, and Gazebo enabling users to spawn and control multiple drones, configure sensors, and test autonomous behaviors in a reproducible and extensible setup. Support Micro-XRCE agent and MAVROS

Multi Agent Environment for TORCS based on https://github.com/openai/multiagent-particle-envs

The gym-cityflow environment is a multiagent domain featuring large discrete state and action spaces. An environment can be created from any set of cityflow config files

A MultiAgent RL environment to train preys and hunters.

Simulation of Decision Making In a Competing Environment using Multi Agent Deep Reinforcement Learning using libraries Tensorflow and Keras

Now we can have agents that have multiagent-conversation and decision making capabilities to take autonomous decisions in a controlled environment with a coding environment to execute it's code by it's own

MultiAgent gym environment for reinforcement learning

A C# project to simulate and test a multiagent algorithm for finding multiple noisy radiation sources with spatial and communication constraints with an emulated environment. The algorithm tries to detect the source(s) of radiation with some robots in the monitoring fields. Each robot has a sensor mounted to detect the radiation concentration. The robots cooperate and communicate with each other to locate the sources based on the sensors readings using concepts from particle swarm optimization algorithm. You can see the attached paper for more detail... [Multiagent Algorithm for finding Multiple Noisy Radiation.pdf](Home_Multiagent Algorithm for finding Multiple Noisy Radiation.pdf)

Jaak Multiagent Environment Model and Simulator

multi-agent pybox2d environment based off of OpenAI multiagent-particle-envs

A wrapper around deepmind/hanabi-learning-environment for convenient multiagent training.

Envirionments for NLP multiagent tasks

Visualization layer for fap3 DES multiagents environment

Tensorflow Implementation of MADDPG in Multiagent-Particle Environments

Multiagent reinforcement learning environment for train scheduling from the switch perspective. Build on Flatlands3.

Repo for Robotic course, Fall 2023. Training multiagent on MPE environment using HARL RL library.

A multiagent system using Unity to simulate evacuation of agents during an Active Shooter scenario in an open environment