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ICML
1995
IEEE
16 years 4 months ago
Learning Policies for Partially Observable Environments: Scaling Up
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
Michael L. Littman, Anthony R. Cassandra, Leslie P...
ICCS
2007
Springer
15 years 10 months ago
Adaptive Observation Strategies for Forecast Error Minimization
Abstract. Using a scenario of multiple mobile observing platforms (UAVs) measuring weather variables in distributed regions of the Pacific, we are developing algorithms that will ...
Nicholas Roy, Han-Lim Choi, Daniel Gombos, James H...
JUCS
2006
107views more  JUCS 2006»
15 years 3 months ago
Sequential Data Assimilation: Information Fusion of a Numerical Simulation and Large Scale Observation Data
: Data assimilation is a method of combining an imperfect simulation model and a number of incomplete observation data. Sequential data assimilation is a data assimilation in which...
Kazuyuki Nakamura, Tomoyuki Higuchi, Naoki Hirose
TSMC
2010
14 years 10 months ago
Active Learning of Plans for Safety and Reachability Goals With Partial Observability
Traditional planning assumes reachability goals and/or full observability. In this paper, we propose a novel solution for safety and reachability planning with partial observabilit...
Wonhong Nam, Rajeev Alur
TSMC
2008
113views more  TSMC 2008»
15 years 3 months ago
Distributed Diagnosis Under Bounded-Delay Communication of Immediately Forwarded Local Observations
In this paper, we study distributed failure diagnosis under k-bounded communication delay, where each local site transmits its observations to other sites immediately after each o...
Wenbin Qiu, Ratnesh Kumar