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ICRA
2007
IEEE
154views Robotics» more  ICRA 2007»
15 years 4 months ago
Oracular Partially Observable Markov Decision Processes: A Very Special Case
— We introduce the Oracular Partially Observable Markov Decision Process (OPOMDP), a type of POMDP in which the world produces no observations; instead there is an “oracle,” ...
Nicholas Armstrong-Crews, Manuela M. Veloso
AAAI
2010
14 years 11 months ago
Relational Partially Observable MDPs
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 ...
Chenggang Wang, Roni Khardon
AAAI
1997
14 years 11 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht
ICPR
2000
IEEE
15 years 2 months ago
Incremental Observable-Area Modeling for Cooperative Tracking
In this paper, we propose an observable-area model of the scene for real-time cooperative object tracking by multiple cameras. The knowledge of partners’ abilities is necessary ...
Norimichi Ukita, Takashi Matsuyama
AAAI
2004
14 years 11 months ago
Generating Safe Assumption-Based Plans for Partially Observable, Nondeterministic Domains
Reactive planning using assumptions is a well-known approach to tackle complex planning problems for nondeterministic, partially observable domains. However, assumptions may be wr...
Alexandre Albore, Piergiorgio Bertoli