107 search results - page 5 / 22 » Approximate Linear Programming for Constrained Partially Obs... |
122
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AAAI
2007
15 years 5 months ago
2007
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
134
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GLOBECOM
2007
IEEE
15 years 7 months ago
2007
IEEE
We design opportunistic spectrum access strategies for improving spectrum efficiency. In each slot, a secondary user chooses a subset of channels to sense and decides whether to ac...
107
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COLT
2000
Springer
15 years 7 months ago
2000
Springer
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
166
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AAAI
2011
14 years 3 months ago
2011
Sustainable resource management in many domains presents large continuous stochastic optimization problems, which can often be modeled as Markov decision processes (MDPs). To solv...
128
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AAAI
2010
15 years 4 months ago
2010
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...