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.
pp. 1-5.
Text
Oliehoek17JMLR.pdf - 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 |
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Depositing User: | Symplectic Admin |
Date Deposited: | 24 Aug 2017 09:01 |
Last Modified: | 19 Jan 2023 06:56 |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3009114 |