238 search results - page 17 / 48 » Value-Function Approximations for Partially Observable Marko... |
115
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IROS
2009
IEEE
15 years 6 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
153
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PKDD
2010
Springer
14 years 9 months ago
2010
Springer
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
ATAL
2003
Springer
15 years 4 months ago
2003
Springer
There has been substantial progress with formal models for sequential decision making by individual agents using the Markov decision process (MDP). However, similar treatment of m...
ICC
2007
IEEE
15 years 6 months ago
2007
IEEE
— We consider opportunistic spectrum access (OSA) which allows secondary users to identify and exploit instantaneous spectrum opportunities resulting from the bursty traffic of ...
ICML
2008
IEEE
16 years 14 days ago
2008
IEEE
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...