Multi Agent Reinforcement Learning in a Predator-Prey-Grass environment
-
Updated
May 13, 2024 - Python
Multi Agent Reinforcement Learning in a Predator-Prey-Grass environment
The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals.
OpenDILab Decision AI Engine
This program aims to compare the performance of the Multiagent Rollout algorithm against the Ordinary Rollout algorithm and the Base Policy in the context of the Spiders and Flies problem.
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Algorithms to solve the DSSE environment, focusing on optimizing drone swarm search and navigation for critical applications.
The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. This CAGE Challenge 4 (CC4) returns to a defence industry enterprise environment, and introduces a Multi-Agent Reinforcement Learning (MARL) scenario.
Paper list of multi-agent reinforcement learning (MARL)
This repository presents a multi-agent reinforcement learning approach for energy-efficient collaborative control of base stations in 5G massive MIMO cellular networks.
A suite of test scenarios for multi-agent reinforcement learning.
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning.
Multi-agent RL environment for a pikachu-volleyball game based on Pettingzoo.
Very simple implementation of Neural Fictitious Self-Play
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
AI Manager for Devin AI
For deep RL and the future of AI.
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
A modular, flexible framework for developing performant algorithms in Reinforcement Learning.
Multi-agent Reinforcement Learing system for efficient item collection and navigation in the raf-rpg-game.
Add a description, image, and links to the multiagent-reinforcement-learning topic page so that developers can more easily learn about it.
To associate your repository with the multiagent-reinforcement-learning topic, visit your repo's landing page and select "manage topics."