Journey to trying out different libraries for multi-agent system communication
-
Updated
Jun 12, 2017 - Python
Journey to trying out different libraries for multi-agent system communication
Minimax algorithm and alpha-beta pruning are applied to solve competing vacuum cleaners that want to clean a room from dirts.
Multi-agent pursuit in matrix world (pursuitMW)
Artificial Collective consciousness: A New Way To Study, Learn and Have A Fun!
Source code and documentation for the LREC-COLING'24 paper "Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies"
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
A multi-agent statistical discriminative sub-trajectory mining technique for analyzing the trajectories of multiple agents using SportVU player tracking data from the 2015/16 season.
Configurable simulation of multiple agents with ray casting obstacle detection. GUI built with pygame.
Extended, multi-agent and multi-objective (MaMoRL) environments based on DeepMind's AI Safety Gridworlds. This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. It is made compatible with OpenAI's Gym/Gymnasium and Farama Foundation PettingZoo.
learning value-based method, started by one-step matrix games
Multi-Agent VQA: Exploring Multi-Agent Foundation Models on Zero-Shot Visual Question Answering
Multi-agent reinforcement learning (MARL) for relaxed probability updating games. This repository corresponds to the master thesis project "Investigating relaxed probability updating games" by Collin Aldaibis
Multi-agent communication module for pytorch.
Implementation of "Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-Agent Urban Driving Environment".
Fork of the Python Multi-Agent Reinforcement Learning framework.
Heimdall is a dynamic AI software engineer crafted to interpret high-level human commands, dissect them into manageable steps, gather necessary information, and compose code to accomplish the designated objectives. Heimdall aspires to be a prominent open-source rival to Cognition AI's Devin.
Multi-Agent Combinatorial Path Finding with Heterogeneous Task Duration (MCPF-D)
Add a description, image, and links to the multi-agent topic page so that developers can more easily learn about it.
To associate your repository with the multi-agent topic, visit your repo's landing page and select "manage topics."