Search Results for "multiagent"

Multiagent Particle Environments is a lightweight framework for simulating multi-agent reinforcement learning tasks in a continuous observation space with discrete action settings. It was originally developed by OpenAI and used in the influential paper Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. The environment provides simple particle-based worlds with simulated physics, where agents can move, communicate, and interact with each other.

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

...Each agent has its own policy, but training uses centralized critics conditioned on the observations and actions of all agents, enabling learning in cooperative, competitive, and mixed settings. The code is built on top of TensorFlow and integrates with the Multiagent Particle Environments (MPE) for benchmarking. Researchers can use it to reproduce the experiments presented in the paper, which demonstrate how agents learn behaviors such as coordination, competition, and communication. Although archived, MADDPG remains a widely cited baseline in multi-agent reinforcement learning research and has inspired further algorithmic developments.

Neural MMO is a massively multi-agent simulation environment developed by OpenAI for reinforcement learning research. It provides a persistent, procedurally generated world where thousands of agents can interact, compete, and cooperate in real time. The environment is inspired by Massively Multiplayer Online Role-Playing Games (MMORPGs), featuring resource gathering, combat mechanics, exploration, and survival challenges. Agents learn behaviors in a shared ecosystem that supports long-term...

Simultra is an open-source, hybrid road traffic simulator designed to handle large roadmaps in real-time. It combines microscopic and mesoscopic simulations into one multiagent hybrid simulator. The large-scale maps are modelled mesoscopically in real-time, and the complex traffic interactions benefit from detailed agent-based microscopic simulations. To resolve the concurrency issues within the maps representation and the meso-micro transitions, Simultra combines an event-based mesoscopic model of the maps with a more detailed physical engine.

This project develops a Java API and tools to specify and execute organisations for multiagent systems based on Moise model. This model is built upon concepts like groups, roles, global goals and plans, and obligations.

Sudoku MEA Solver is projet of desktop Sudoku automatic solver aplication written in C++ with using Qt4. It's based on my batchelor thesis project (Multiagent Evolutionar Algorithm for Sudoku).

Multi-agent system developed in Repast Symphony 2.0, for the simulation of property crime rates behavior.

...Tettamanzi. "An Integrated Possibilistic Framework for Goal Generation in Cognitive Agents". In Proceedings of the 9th International conference on autonomous agents and multiagent systems (AAMAS 2010), pages 1239–1246.

BAAL is the acronym for Believable Agents Architecture for eLetronic entertainment. An architecture for development of believable agents in a multiagent system, with focus on eletronic entertainment, specifically on eletronic games.

Cog-Trust implements a cognitive theory of trust for social agents. It includes a testbed for testing and protopying hybrid agents. Deliberative modules are coupled to classifiers and cognitive maps, used for the assesment of trust and delegation.

SimIS presents an agent-based simulation environment from multiagent research to simulate Internet-of-Services systems. The simulation environment bases on Repast Simphony 1.2 (http://repast.sourceforge.net/).

The Domain Specific Modeling Language for Multiagent Systems (DSML4MAS) is a platform independent language for specifying multiagent systems. The DSML4MAS Development Environment (DDE) is a model-driven development environment based on DSML4MAS.

ERepSim presents an agent-based cloud simulation environment integrating electronic institutions from multiagent research to simulate Internet-of-Services systems.

ECSKernel is a multiagent coordination algorithm testbed, built on the RoboCupRescue disaster simulation platform. It is easily configurable and can be used with user-generated scenarios.

A simulation environment for 2D robots to interact and perform tasks in. Meant to be educational and demonstrate emergent behaviors. No download necessary! See demos on project website!

MultiJADS is a domain independent multiagent active design documents shell. It uses multiagent technology to support activities in concurrent and distributed design systems and is based on the Active Design Documents (ADD) approach.

Java Evolutionary MultiAgent System allows user to solve multiobjective optimization problems using evolutionary algorithms with energetical elitism in multiagent system. It allows also to perform test using varied metrics.

The Packet-World is a 100% Java testbed for investigating situated multiagent systems. The tool allows users to experiment with various aspects of multiagent systems, incl. agent architectures, stigmergy, communication, etc.

This is a university software project initiated from the intelligent systems group at our university (http://www.cs.uu.nl/groups/IS/). The aim of the project is to build a forest fire simulation environment in which multiple (ground and air) agents can be

NAP is a middleware built on top of Microsoft .NET web services infrastructure that implements an agent platform and a development framework designed to build and deploy multiagent systems. An agent is an independent and autonomous process that has

This project is an implementation of a computational framework that addresses general-interest low-level problems such as real-time synchronization, sound communication and spatial agent mobility.