multiagent-reinforcement-learning
Here are 152 public repositories matching this topic...
Virtual reality (VR) environment for studying human-agent decision making.
-
Updated
Sep 14, 2022 - C#
PyDeco - Experiments in Decentralized and Distributed Control Algorithms
-
Updated
Jan 18, 2022 - Python
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.
-
Updated
May 7, 2024 - Python
Resource Abstraction (AAMAS 2016)
-
Updated
Apr 10, 2019 - C++
Third-degree Computer Engineering subject at Universitat de Barcelona
-
Updated
Feb 20, 2019
toy example project for the in-depth study of reinforcement learning in a multi-agent setting
-
Updated
Feb 2, 2021 - Python
Designed Multi-Agent Systems for Fighting Forest Fires (by Group)- Reinforcement Learning Course Project
-
Updated
Nov 1, 2022 - Jupyter Notebook
Approaches and solutions to the Flatland Challenge.
-
Updated
Oct 5, 2020 - Python
Reinforcement Learning
-
Updated
Dec 10, 2022 - Jupyter Notebook
Implementation of Q-Learning using TD error to navigate a maze avoiding obstacles and a moving enemy
-
Updated
Mar 4, 2018 - Python
AI pacman project(berkeley university) - Fall 2021
-
Updated
Dec 15, 2022 - Python
Win or Learn Fast(WoLF) policy hill climbing
-
Updated
Jan 23, 2020 - Python
Small collection of Multi-agent gym environments.
-
Updated
May 1, 2018 - Python
A Pacman Game that runs using implemented Algorithms and Machine Learning
-
Updated
Jun 2, 2022 - Python
Multi-agent RL environment for a pikachu-volleyball game based on Pettingzoo.
-
Updated
May 21, 2024 - Python
Results comparison between OpenSpiel implementations, associated paper & originating works
-
Updated
Nov 10, 2022 - Python
Multiagent Deep Reinforcement learning
-
Updated
Jun 21, 2021 - Python
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.
-
Updated
May 24, 2024 - Python
Improve this page
Add a description, image, and links to the multiagent-reinforcement-learning topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the multiagent-reinforcement-learning topic, visit your repo's landing page and select "manage topics."