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» Model Minimization in Markov Decision Processes
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JSAC
2008
95views more  JSAC 2008»
13 years 7 months ago
Cognitive Medium Access: Constraining Interference Based on Experimental Models
In this paper we design a cognitive radio that can coexist with multiple parallel WLAN channels while abiding by an interference constraint. The interaction between both systems is...
Stefan Geirhofer, Lang Tong, Brian M. Sadler
CORR
2012
Springer
235views Education» more  CORR 2012»
12 years 4 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
14 years 3 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
CORR
2010
Springer
106views Education» more  CORR 2010»
13 years 8 months ago
MDPs with Unawareness
Markov decision processes (MDPs) are widely used for modeling decision-making problems in robotics, automated control, and economics. Traditional MDPs assume that the decision mak...
Joseph Y. Halpern, Nan Rong, Ashutosh Saxena
IJCAI
2001
13 years 10 months ago
Symbolic Dynamic Programming for First-Order MDPs
We present a dynamic programming approach for the solution of first-order Markov decisions processes. This technique uses an MDP whose dynamics is represented in a variant of the ...
Craig Boutilier, Raymond Reiter, Bob Price