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ATAL
2010
Springer
15 years 2 months ago
Using counterfactual regret minimization to create competitive multiplayer poker agents
Games are used to evaluate and advance Multiagent and Artificial Intelligence techniques. Most of these games are deterministic with perfect information (e.g. Chess and Checkers)....
Nicholas Abou Risk, Duane Szafron
GECCO
2005
Springer
15 years 7 months ago
Intelligent exploration method for XCS
Exploration/Exploitation equilibrium is one of the most challenging issues in reinforcement learning area as well as learning classifier systems such as XCS. In this paper1 , an i...
Ali Hamzeh, Adel Rahmani
113
Voted
IAT
2008
IEEE
15 years 8 months ago
Formalizing Multi-state Learning Dynamics
This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
CORR
2008
Springer
148views Education» more  CORR 2008»
15 years 1 months ago
Conversion/Preference Games
We introduce the concept of Conversion/Preference Games, or CP games for short. CP games generalize the standard notion of strategic games. First we exemplify the use of CP games. ...
Stéphane Le Roux, Pierre Lescanne, Ren&eacu...
ATAL
2007
Springer
15 years 7 months ago
Outperforming the competition in multi-unit sealed bid auctions
In this paper, we examine the behavior of bidding agents that are in direct competition with the other participants in an auction setting. Thus the agents are not simply trying to...
Ioannis A. Vetsikas, Nicholas R. Jennings