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AAAI
2006
15 years 8 months ago
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...
AAAI
2006
15 years 8 months ago
Hard Constrained Semi-Markov Decision Processes
In multiple criteria Markov Decision Processes (MDP) where multiple costs are incurred at every decision point, current methods solve them by minimising the expected primary cost ...
Wai-Leong Yeow, Chen-Khong Tham, Wai-Choong Wong
ECIS
2004
15 years 8 months ago
Digital video recorder-driven impacts on the video content Services industry
Being part of a larger research program, this paper focuses on the impacts of so-called 'Digital Video Recorders' (DVRs) on the video content services industry. First, i...
Claudia Löbbecke
WMC
2004
224views ECommerce» more  WMC 2004»
15 years 8 months ago
Evaluation Framework for a Mobile Marketing Application in 3rd Generation Networks
: Testing of a software application serves the accomplishment of two dis tinct objectives: ensuring functionality and end-user acceptance. However, with an increasing desire for mo...
Franz Lehner, Eva-Maria Sperger, Holger Nösek...
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AAAI
1997
15 years 8 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht