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GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 10 months ago
Evolution of Goal-Directed Behavior from Limited Information in a Complex Environment
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
Matthew R. Glickman, Katia P. Sycara
NORMAS
2005
Springer
13 years 11 months ago
A Framework for the Design of Self-Regulation of Open Agent-based Electronic Marketplaces
In this paper, we argue that allowing self-interested agents to activate social institutions during run-time can improve the robustness (i.e., stability, cooperation or fairness) ...
Christian S. Hahn, Bettina Fley, Michael Florian
AAAI
1998
13 years 7 months ago
Bayesian Q-Learning
A central problem in learning in complex environmentsis balancing exploration of untested actions against exploitation of actions that are known to be good. The benefit of explora...
Richard Dearden, Nir Friedman, Stuart J. Russell
AAMAS
2006
Springer
13 years 5 months ago
Handling Communication Restrictions and Team Formation in Congestion Games
Abstract. There are many domains in which a multi-agent system needs to maximize a "system utility" function which rates the performance of the entire system, while subje...
Adrian K. Agogino, Kagan Tumer
ATAL
2005
Springer
13 years 11 months ago
Coordinating multiple rovers with interdependent science objectives
This paper describes an integrated system for coordinating multiple rover behavior with the overall goal of collecting planetary surface data. The MISUS system combines techniques...
Tara A. Estlin, Daniel M. Gaines, Forest Fisher, R...