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TSMC
1998
78views more  TSMC 1998»
13 years 5 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
TON
2002
116views more  TON 2002»
13 years 5 months ago
Managing capacity for telecommunications networks under uncertainty
The existing telecommunications infrastructure in most of the world is adequate to deliver voice and text applications, but demand for broadband services such as streaming video an...
Yann d'Halluin, Peter A. Forsyth, Kenneth R. Vetza...
CORR
2008
Springer
147views Education» more  CORR 2008»
13 years 5 months ago
A Minimum Relative Entropy Principle for Learning and Acting
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
Pedro A. Ortega, Daniel A. Braun
AAMAS
2010
Springer
13 years 5 months ago
Optimizing fixed-size stochastic controllers for POMDPs and decentralized POMDPs
POMDPs and their decentralized multiagent counterparts, DEC-POMDPs, offer a rich framework for sequential decision making under uncertainty. Their computational complexity, howeve...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
AGI
2011
12 years 9 months ago
Information, Utility and Bounded Rationality
Abstract. Perfectly rational decision-makers maximize expected utility, but crucially ignore the resource costs incurred when determining optimal actions. Here we employ an axiomat...
Daniel Alexander Ortega, Pedro Alejandro Braun