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GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 9 months ago
Developing neural structure of two agents that play checkers using cartesian genetic programming
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
Gul Muhammad Khan, Julian Francis Miller, David M....
ATAL
2008
Springer
13 years 10 months ago
On the usefulness of opponent modeling: the Kuhn Poker case study
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
Alessandro Lazaric, Mario Quaresimale, Marcello Re...
ATAL
2005
Springer
14 years 2 months ago
Trusted kernel-based coalition formation
We define Trusted Kernel-based Coalition Formation as a novel extension to the traditional kernel-based coalition formation process which ensures agents choose the most reliable ...
Bastian Blankenburg, Rajdeep K. Dash, Sarvapali D....
FLAIRS
2009
13 years 6 months ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Matthew Molineaux, David W. Aha, Gita Sukthankar
ATAL
2011
Springer
12 years 8 months ago
GUARDS: game theoretic security allocation on a national scale
Building on research previously reported at AAMAS conferences, this paper describes an innovative application of a novel gametheoretic approach for a national scale security deplo...
James Pita, Milind Tambe, Christopher Kiekintveld,...