A platform for AI researchers to study automatic AI research
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Updated
Jul 24, 2024 - Python
A platform for AI researchers to study automatic AI research
CORMAS (COmmon pool Ressources and Multi-Agent Simulations)
MultiAgent-Based Model (MABM) designed to simulate Parkinson's disease using Repast Simphony.
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
A framework using the game Balderdash to evaluate creativity and logical reasoning in Large Language Models (LLMs). Multiple LLMs generate fictitious definitions to deceive others and identify correct ones, analyzing creativity, deception, and performance.
Multi-agent collaboration (2 UR10s) in Omniverse Isaac Gym/Sim.
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
Multi-Agent Simulation of Collective Behavior (Pedestrian Crowd)
web based multi-agent simulator for individual-based modeling in population dynamics and ecotoxicology
Reproduction of papers about evolution of cooperation
A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.
Create back-of-the-envelope multi-agent simulations using emojis.
Reinforcement Learning for Unmanned Airial Vehicles
連合学習を用いた歩行時間予測モデルの評価
A multi-agent platform built on the top of the pystarworldsturbo library. Part of the Intelligent Agents course taught at Royal Holloway University of London.
An agent that ranked 8th in Kaggle's Lux AI Season 2 competition.
SIM-GPT is a cross-platform multi-agent conversation simulation framework.
Multi-agent Simulation Software for Crowd Crush Prevention and Store Layout Optimizer
JASA is a high-performance auction simulator written in JAVA. It is designed for performing experiments in agent-based computational economics.
Java Agent Based Modelling toolkit
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