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ATAL
2005
Springer
14 years 1 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
IAT
2003
IEEE
14 years 28 days ago
Problem-solving in open environments
With the increasing use of the internet, many problemsolving tasks such as resource allocation, scheduling, planning, and configuration pose themselves in an open setting involvi...
Santiago Macho-Gonzalez, Boi Faltings
CDC
2008
IEEE
102views Control Systems» more  CDC 2008»
13 years 9 months ago
Search decisions for teams of automata
Abstract-- The dynamics of exploration vs exploitation decisions are explored in the context of robotic search problems. Building on prior work on robotic search together with our ...
Dimitar Baronov, John Baillieul
ATAL
2007
Springer
14 years 1 months ago
Learning consumer preferences using semantic similarity
In online, dynamic environments, the services requested by consumers may not be readily served by the providers. This requires the service consumers and providers to negotiate the...
Reyhan Aydogan, Pinar Yolum
ICS
2010
Tsinghua U.
14 years 5 months ago
Game Theory with Costly Computation: Formulation and Application to Protocol Security
: We develop a general game-theoretic framework for reasoning about strategic agents performing possibly costly computation. In this framework, many traditional game-theoretic resu...
Joseph Y. Halpern, Rafael Pass