166 search results - page 29 / 34 » Online model learning in adversarial Markov decision process... |
KDD
2004
ACM
15 years 10 months ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
78
Voted
ICIS
2003
14 years 11 months ago
2003
Revelation policies in an e-marketplace differ in terms of the level of competitive information disseminated to participating sellers. Since sellers who repeatedly compete against...
CORR
2010
Springer
14 years 8 months ago
2010
Springer
In this paper, we propose a systematic solution to the problem of scheduling delay-sensitive media data for transmission over time-varying wireless channels. We first formulate th...
MONET
2006
14 years 9 months ago
2006
We consider sensor networks in which individual nodes with on-board sensing and low-power transmitters and receivers establish connections with neighboring nodes. The overall objec...
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...