The MADP toolbox: An open source library for planning and learning in (multi-)agent systems



Oliehoek, FA ORCID: 0000-0003-4372-5055, Spaan, MTJ, Terwijn, B, Robbel, P and Messias, JV
(2017) The MADP toolbox: An open source library for planning and learning in (multi-)agent systems. Journal of Machine Learning Research, 18. 1 - 5.

[img] Text
Oliehoek17JMLR.pdf - OA Published Version

Download (298kB)

Abstract

This article describes the Multiagent Decision Process (MADP) Toolbox, a software library to support planning and learning for intelligent agents and multiagent systems in uncertain environments. Key features are that it supports partially observable environments and stochastic transition models; has unified support for single- and multiagent systems; provides a large number of models for decision-theoretic decision making, including one-shot and sequential decision making under various assumptions of observability and cooperation, such as Dec-POMDPs and POSGs; provides tools and parsers to quickly prototype new problems; provides an extensive range of planning and learning algorithms for single- and multiagent systems; is released under the GNU GPL v3 license; and is written in C++ and designed to be extensible via the object-oriented paradigm.

Item Type: Article
Depositing User: Symplectic Admin
Date Deposited: 24 Aug 2017 09:01
Last Modified: 04 Jun 2021 07:23
URI: https://livrepository.liverpool.ac.uk/id/eprint/3009114