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» Safer Decisions Against A Dynamic Opponent
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IIS
2003
13 years 10 months ago
Safer Decisions Against A Dynamic Opponent
A hierarchy of beliefs for an agent has been proposed in [3]. The aim of this paper is to investigate the performance of such ’multi-model’ agents with some experiments in the ...
Wojciech Jamroga
ICCBR
2005
Springer
14 years 2 months ago
Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game
While several researchers have applied case-based reasoning techniques to games, only Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real-time ...
David W. Aha, Matthew Molineaux, Marc J. V. Ponsen
ATAL
2006
Springer
14 years 8 days ago
Efficient agents for cliff-edge environments with a large set of decision options
This paper proposes an efficient agent for competing in Cliff Edge (CE) environments, such as sealed-bid auctions, dynamic pricing and the ultimatum game. The agent competes in on...
Ron Katz, Sarit Kraus
NN
2006
Springer
140views Neural Networks» more  NN 2006»
13 years 8 months ago
Neural mechanism for stochastic behaviour during a competitive game
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...
Alireza Soltani, Daeyeol Lee, Xiao-Jing Wang
ATAL
2007
Springer
14 years 2 months ago
Multiagent learning in adaptive dynamic systems
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
Andriy Burkov, Brahim Chaib-draa