Computing Approximate Nash Equilibria and Robust Best-Responses Using Sampling

Autor: Ponsen, Marc, de Jong, Steven, Lanctot, Marc

Publikováno v: Journal Of Artificial Intelligence Research, Volume 42, pages 575-605, 2011

This article discusses two contributions to decision-making in complex partially observable stochastic games. First, we apply two state-of-the-art search techniques that use Monte-Carlo sampling to the task of approximating a Nash-Equilibrium (NE) in

Externí odkaz: http://arxiv.org/abs/1401.4591

Strategic Decision-Making in complex games

Autor: Ponsen, Marc J.V.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::f444612095ecb0f04c08ed6a403b4a22
https://cris.maastrichtuniversity.nl/en/publications/592cd909-a884-4837-ba2b-6f0415e278b4

Learning with whom to communicate using relational reinforcement learning

Autor: Ponsen, Marc J. V., Croonenborghs, Tom, Tuyls, Karl, Ramon, Jan, Driessens, Kurt, Herik, H. Jaap van den, Postma, Eric O., Babuska, Robert, Groen, Frans C. A.

Publikováno v: Studies in Computational Intelligence, 45-65
STARTPAGE=45;ENDPAGE=65;TITLE=Studies in Computational Intelligence
Interactive Collaborative Information Systems, 45-63
STARTPAGE=45;ENDPAGE=63;TITLE=Interactive Collaborative Information Systems
Interactive Collaborative Information Systems ISBN: 9783642116872
AAMAS (2)

Relational reinforcement learning is a promising direction within reinforcement learning research. It upgrades reinforcement learning techniques using relational representations for states, actions, and learned value functions or policies to allow na

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::245b6a0b6cad924c075932c7afa141e9
https://research.tilburguniversity.edu/en/publications/e8c04a80-abc2-4db1-84f0-c9fc01850e3c

The dynamics of human behaviour in poker

Autor: Ponsen, Marc, Tuyls, Karl, Dejong, Steven, Ramon, Jan, Croonenborghs, Tom, Driessens, Kurt

In this paper we investigate the evolutionary dynamics of strategic behaviour in the game of poker by means of data gathered from a large number of real-world poker games. We perform this study from an evolutionary game theoretic perspective using th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1131::294bd455c167019dff0ab1e867f02500
https://lirias.kuleuven.be/handle/123456789/197560

Automatically Generating Game Tactics through Evolutionary Learning

Autor: Ponsen, Marc, Munoz-Avila, Hector, Spronck, Pieter, Aha, David W.

Publikováno v: AI Magazine; Vol 27, No 3: Fall 2006; 75

The decision-making process of computer-controlled opponents in video games is called game AI. Adaptive game AI can improve the entertainment value of games by allowing computer-controlled opponents to ix weaknesses automatically in the game AI and t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=issn07384602::a19e60383c13cb0f95ebc56137b1bff2
http://aaai.org/ojs/index.php/aimagazine/article/view/1894