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UAI
2008
15 years 8 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau
NAACL
2001
15 years 8 months ago
A Probabilistic Earley Parser as a Psycholinguistic Model
In human sentence processing, cognitive load can be defined many ways. This report considers a definition of cognitive load in terms of the total probability of structural options...
John Hale
AAAI
2000
15 years 8 months ago
Disjunctive Temporal Reasoning in Partially Ordered Models of Time
Certain problems in connection with, for example, cooperating agents and distributed systems require reasoning about time which is measured on incomparable or unsynchronized time ...
Mathias Broxvall, Peter Jonsson
CORR
2010
Springer
92views Education» more  CORR 2010»
15 years 6 months ago
Design and Modeling Billing solution to Next Generation Networks
-------------------------------------------------------------------ABSTRACT----------------------------------------------------------------Next generation networks (NGN) services a...
Kamaljit I. Lakhtaria, N. N. Jani
JAIR
2007
79views more  JAIR 2007»
15 years 6 months ago
Probabilistic Planning via Heuristic Forward Search and Weighted Model Counting
We present a new algorithm for probabilistic planning with no observability. Our algorithm, called Probabilistic-FF, extends the heuristic forward-search machinery of Conformant-F...
Carmel Domshlak, Jörg Hoffmann