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Publication
233views
12 years 6 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
INFOCOM
2012
IEEE
11 years 10 months ago
Delay optimal multichannel opportunistic access
Abstract—The problem of minimizing queueing delay of opportunistic access of multiple continuous time Markov channels is considered. A new access policy based on myopic sensing a...
Shiyao Chen, Lang Tong, Qing Zhao
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
14 years 2 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 7 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
ECIS
2000
13 years 9 months ago
A Framework for Clinical Decision Making and Medical Experience Storing
Different models of Decision Support Systems (DSS) are used in medicine to help physicians in disease diagnosis, prognosis evaluation and therapy prescription. The DSS models rely ...
Joël Colloc, Laïd Bouzidi