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» Terminating Decision Algorithms Optimally
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ML
2002
ACM
121views Machine Learning» more  ML 2002»
15 years 2 months ago
Near-Optimal Reinforcement Learning in Polynomial Time
We present new algorithms for reinforcement learning, and prove that they have polynomial bounds on the resources required to achieve near-optimal return in general Markov decisio...
Michael J. Kearns, Satinder P. Singh
ICMCS
2000
IEEE
122views Multimedia» more  ICMCS 2000»
15 years 6 months ago
Optimal Streaming of Layer-Encoded Multimedia Presentations
In the context of communication networks with no QoS guarantees, we describe the problem of streaming layer encoded multimedia presentation data as a two-phase decision problem. W...
David A. Turner, Keith W. Ross
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 3 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
ICCBR
2003
Springer
15 years 8 months ago
SOFT-CBR: A Self-Optimizing Fuzzy Tool for Case-Based Reasoning
A generic Case-Based Reasoning tool has been designed, implemented, and successfully used in two distinct applications. SOFT-CBR can be applied to a wide range of decision problems...
Kareem S. Aggour, Marc Pavese, Piero P. Bonissone,...
CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
14 years 10 months ago
Distributed constrained optimization over noisy networks
In this paper we deal with two problems which are of great interest in the field of distributed decision making and control. The first problem we tackle is the problem of achieving...
Kunal Srivastava, Angelia Nedic, Dusan M. Stipanov...