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ICLP
2005
Springer
13 years 10 months ago
Techniques for Scaling Up Analyses Based on Pre-interpretations
Any finite tree automaton (or regular type) can be used to construct act interpretation of a logic program, by first determinising and completing the automaton to get a pre-inter...
John P. Gallagher, Kim S. Henriksen, Gourinath Ban...
ICML
1995
IEEE
14 years 5 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...
ATAL
2011
Springer
12 years 4 months ago
Quality-bounded solutions for finite Bayesian Stackelberg games: scaling up
The fastest known algorithm for solving General Bayesian Stackelberg games with a finite set of follower (adversary) types have seen direct practical use at the LAX airport for o...
Manish Jain, Christopher Kiekintveld, Milind Tambe
ML
2000
ACM
150views Machine Learning» more  ML 2000»
13 years 4 months ago
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Filippo Menczer, Richard K. Belew
AAAI
2007
13 years 7 months ago
Scaling Up: Solving POMDPs through Value Based Clustering
Partially Observable Markov Decision Processes (POMDPs) provide an appropriately rich model for agents operating under partial knowledge of the environment. Since finding an opti...
Yan Virin, Guy Shani, Solomon Eyal Shimony, Ronen ...