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IJCAI
1993
14 years 11 months ago
Learning Decision Lists over Tree Patterns and Its Application
This paper introduces a new concept, a decision tree (or list) over tree patterns, which is a natural extension of a decision tree (or decision list), for dealing with tree struct...
Satoshi Kobayashi, Koichi Hori, Setsuo Ohsuga
ICML
2010
IEEE
14 years 11 months ago
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multiarmed bandit problem, where the payoff function is ...
Niranjan Srinivas, Andreas Krause, Sham Kakade, Ma...
ATAL
2010
Springer
14 years 10 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
COMSUR
2006
96views more  COMSUR 2006»
14 years 10 months ago
A survey of multipoint relay based broadcast schemes in wireless ad hoc networks
Almost every routing protocol in mobile ad hoc networks (MANETs) depends on a broadcast scheme to disseminate routing information. For this reason, creating an efficient broadcast...
Ou Liang, Y. Ahmet Sekercioglu, Nallasamy Mani
JAIR
2008
107views more  JAIR 2008»
14 years 10 months ago
Planning with Durative Actions in Stochastic Domains
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
Mausam, Daniel S. Weld