PyDeco - Experiments in Decentralized and Distributed Control Algorithms
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Updated
Jan 18, 2022 - Python
PyDeco - Experiments in Decentralized and Distributed Control Algorithms
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.
toy example project for the in-depth study of reinforcement learning in a multi-agent setting
Approaches and solutions to the Flatland Challenge.
Implementation of Q-Learning using TD error to navigate a maze avoiding obstacles and a moving enemy
AI pacman project(berkeley university) - Fall 2021
Win or Learn Fast(WoLF) policy hill climbing
Small collection of Multi-agent gym environments.
A Pacman Game that runs using implemented Algorithms and Machine Learning
Multi-agent RL environment for a pikachu-volleyball game based on Pettingzoo.
Adaptive Denoising and Alignment Agents for Infrared Imaging
Gym for 2d maze with configurable targets and multiple agents
Results comparison between OpenSpiel implementations, associated paper & originating works
Multiagent Deep Reinforcement learning
This repository contains Dongming Shen's demonstration code and documentation for the research projects conducted at the IDM Lab, USC. The project focuses on integrating Multi-Agent Path Finding (MAPF) with Multi-Agent Reinforcement Learning (MARL) to explore efficient coordination strategies among autonomous agents in dynamic environments.
Python interface for (multi-agent) reinforcement learning to the CATS model [Delli Gatti (2011), Assenza (2017)].
The Decentralized Multi-Agent Coordination (DeMAC) Framework. A lightweight tool designed to easily coordinate multiple agents with decentralized policies in a shared multi-agent environment.
Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning.
Composed shielding with MADDPG
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