238 search results - page 37 / 48 » Value-Function Approximations for Partially Observable Marko... |
JAIR
2008
14 years 11 months ago
2008
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...
128
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AIED
2011
Springer
14 years 3 months ago
2011
Springer
Both human and automated tutors must infer what a student knows and plan future actions to maximize learning. Though substantial research has been done on tracking and modeling stu...
101
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AAAI
2012
13 years 2 months ago
2012
We consider symbolic dynamic programming (SDP) for solving Markov Decision Processes (MDP) with factored state and action spaces, where both states and actions are described by se...
HICSS
2003
IEEE
15 years 5 months ago
2003
IEEE
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the...
ACL
2008
15 years 1 months ago
2008
In spoken dialogue systems, Partially Observable Markov Decision Processes (POMDPs) provide a formal framework for making dialogue management decisions under uncertainty, but effi...