Master mind Board Game implemented in Python
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Updated
Sep 26, 2020 - Python
Master mind Board Game implemented in Python
Stock Exchange Simulator
Simple simulation for testing explanations from groups of agents
The game is a simulation of multiple agents with conflicting goals. The agents try to survive and move as many cells as they can. On the other hand their adversaries try to interrupt them.
An agent that ranked 8th in Kaggle's Lux AI Season 2 competition.
Multi-Agent Grid Environment (MAGE)
Reinforcement Learning for Unmanned Airial Vehicles
Multi-agent collaboration (2 UR10s) in Omniverse Isaac Gym/Sim.
Détection d'un blob dans une image ainsi que détection des comprimés de nourriture. Simulation d'un blob dans PyGame à travers un système multi-agents à connaissance partagée.
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.
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.
PyTorch implementation for Social-LSTM, which is built to predict multi-vessel trajectories.
Beer Game implemented as an OpenAI gym environment.
Multi-Agent Simulation of Collective Behavior (Pedestrian Crowd)
A Multi-Agent Simulation Framework and Analysis of the IOTA Tangle - Python implementation and PDF of M.Sc. thesis, Imperial College London
Multi agent simulation code for 2×2 Game on complex network
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.
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
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