4446 search results - page 362 / 890 » Learning Observer Agents |
179
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AAAI
2007
15 years 9 months ago
2007
This paper contains two important contributions for the development of possibilistic causal networks. The first one concerns the representation of interventions in possibilistic ...
189
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AAAI
2010
15 years 8 months ago
2010
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
176
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AAAI
2004
15 years 8 months ago
2004
The search for finite-state controllers for partially observable Markov decision processes (POMDPs) is often based on approaches like gradient ascent, attractive because of their ...
181
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AAAI
2006
15 years 8 months ago
2006
We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
190
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IJCAI
2003
15 years 8 months ago
2003
Filtering denotes any method whereby an agent updates its belief state—its knowledge of the state of the world—from a sequence of actions and observations. In logical filterin...