75 search results - page 11 / 15 » Decision Making with Partially Consonant Belief Functions |
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NIPS
2007
14 years 11 months ago
2007
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
ICTAI
2010
IEEE
14 years 7 months ago
2010
IEEE
Abstract--The difficulties encountered in sequential decisionmaking problems under uncertainty are often linked to the large size of the state space. Exploiting the structure of th...
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
This paper considers the design of agent strategies for deciding whether to help other members of a group with whom an agent is engaged in a collaborative activity. Three characte...
AAAI
2006
14 years 11 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
PERCOM
2007
ACM
15 years 9 months ago
2007
ACM
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...