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» Monotone Approximation of Decision Problems
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NIPS
2007
14 years 6 days ago
What makes some POMDP problems easy to approximate?
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
David Hsu, Wee Sun Lee, Nan Rong
AAAI
1992
13 years 12 months ago
Causal Approximations
models require the identi cation of abstractions and approximations that are well suited to the task at hand. In this paper we analyze the problem of automatically selecting adequ...
P. Pandurang Nayak
SOCO
2010
Springer
13 years 5 months ago
Using evolution strategies to solve DEC-POMDP problems
Decentralized partially observable Markov decision process (DEC-POMDP) is an approach to model multi-robot decision making problems under uncertainty. Since it is NEXP-complete the...
Baris Eker, H. Levent Akin
NIPS
2004
14 years 5 days ago
Approximately Efficient Online Mechanism Design
Online mechanism design (OMD) addresses the problem of sequential decision making in a stochastic environment with multiple self-interested agents. The goal in OMD is to make valu...
David C. Parkes, Satinder P. Singh, Dimah Yanovsky
DLOG
2008
14 years 1 months ago
Locality and Subsumption Testing in EL and Some of its Extensions
Abstract. We show that subsumption problems in EL and related description logics can be expressed as uniform word problems in classes of semilattices with monotone operators. We us...
Viorica Sofronie-Stokkermans