34 search results - page 2 / 7 » Learning Planning Operators in Real-World, Partially Observa... |
89
Voted
AAAI
1994
15 years 3 months ago
1994
In this paper, we describe the partially observable Markov decision process pomdp approach to nding optimal or near-optimal control strategies for partially observable stochastic ...
112
Voted
AIPS
2008
15 years 4 months ago
2008
We consider the problem of cooperative multiagent planning under uncertainty, formalized as a decentralized partially observable Markov decision process (Dec-POMDP). Unfortunately...
EDBT
2010
ACM
15 years 8 months ago
2010
ACM
The goal of data fusion is to combine several representations of one real world object into a single, consistent representation, e.g., in data integration. A very popular operator...
143
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ECML
2005
Springer
15 years 7 months ago
2005
Springer
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
109
Voted
ICTAI
2005
IEEE
15 years 7 months ago
2005
IEEE
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...