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» Complexity of Planning with Partial Observability
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AIPS
2006
13 years 6 months ago
Bounded Branching and Modalities in Non-Deterministic Planning
We study the consequences on complexity that arise when bounds on the number of branch points on the solutions for non-deterministic planning problems are imposed as well as when ...
Blai Bonet
AIPS
2006
13 years 6 months ago
Goal Achievement in Partially Known, Partially Observable Domains
We present a decision making algorithm for agents that act in partially observable domains which they do not know fully. Making intelligent choices in such domains is very difficu...
Allen Chang, Eyal Amir
TSMC
2010
13 years 2 days 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
JAIR
2000
152views more  JAIR 2000»
13 years 5 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
AIPS
2008
13 years 7 months ago
Bounded-Parameter Partially Observable Markov Decision Processes
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
Yaodong Ni, Zhi-Qiang Liu