Sciweavers

6 search results - page 1 / 2
» Safer Decisions Against A Dynamic Opponent
Sort
View
IIS
2003
13 years 6 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
13 years 10 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
13 years 8 months 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 4 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
13 years 11 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