Search Results for "multiagent"
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Showing 26 open source projects for "multiagent"
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OpenSpiel
Environments and algorithms for research in general reinforcement
...OpenSpiel supports n-player (single- and multi- agent) zero-sum, cooperative and general-sum, one-shot and sequential, strictly turn-taking and simultaneous-move, perfect and imperfect information games, as well as traditional multiagent environments such as (partially- and fully- observable) grid worlds and social dilemmas. OpenSpiel also includes tools to analyze learning dynamics and other common evaluation metrics. Games are represented as procedural extensive-form games, with some natural extensions. The core API and games are implemented in C++ and exposed to Python. ... -
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ChonOS
A specifical-purpose GNU/Linux distribution for Embedded MAS
ChonOS (Cognitive Hardware on Network - Operational System) is a specifical-purpose GNU/Linux distribution that seeks to facilitate the development of an Embedded MultiAgent System (MAS). It enables, without the need to turn off the device or stop the MAS: the deployment of reasoning to the robot; firmware deployment for microcontrollers; the transfer of the MAS from the development environment to the production environment; and the transfer of new agents to the MAS running using the Internet of Things (IoT). ... -
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Multi-Agent Particle Envs
Code for a multi-agent particle environment used in a paper
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. -
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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).
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MADDPG
Code for the MADDPG algorithm from a paper
...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. -
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Neural MMO
Code for the paper "Neural MMO: A Massively Multiagent Game..."
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... -
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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.
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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).
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Crimes Model
Multiagent system for simulation of crime rates behavior.
Multi-agent system developed in Repast Symphony 2.0, for the simulation of property crime rates behavior. -
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KOBDIG
A cognitive agent framework based on possibility theory
...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. -
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e-Advisor is a multiagent system for computerized graduate program planning. It is designed to guide students in course selection and generates suitable personalized study plans based on a knowledge-level model of the curriculum.
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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.
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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.
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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/).
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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.
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ERepSim presents an agent-based cloud simulation environment integrating electronic institutions from multiagent research to simulate Internet-of-Services systems.
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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.
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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!
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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.
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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.
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A multiagent system with elements of artificial intelligence capable of composing and performing its own music.
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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.
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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
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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
