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ADVCS
2011
251views Database» more  ADVCS 2011»
13 years 11 months ago
Emergent Social Learning Networks in Organizations with Heterogeneous Agents
Two distinct learning mechanisms are considered for a population of agents who engage in decentralized search for the common optimum. An agent may choose to learn via innovation (...
Myong-Hun Chang
ICML
2008
IEEE
16 years 19 days ago
Exploration scavenging
We examine the problem of evaluating a policy in the contextual bandit setting using only observations collected during the execution of another policy. We show that policy evalua...
John Langford, Alexander L. Strehl, Jennifer Wortm...
ISIPTA
2003
IEEE
125views Mathematics» more  ISIPTA 2003»
15 years 5 months ago
Game-Theoretic Learning Using the Imprecise Dirichlet Model
We discuss two approaches for choosing a strategy in a two-player game. We suppose that the game is played a large number of rounds, which allows the players to use observations o...
Erik Quaeghebeur, Gert de Cooman
DCC
1994
IEEE
15 years 4 months ago
Explicit Bit Minimization for Motion-Compensated Video Coding
abstract Dzung T. Hoang Philip M. Longy Je rey Scott Vitterz Department of Computer Science Duke University Box 90129 Durham, NC 27708 0129 We compare methods for choosing motion ...
Dzung T. Hoang, Philip M. Long, Jeffrey Scott Vitt...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 3 months ago
Search--based approaches to the component selection and prioritization problem
This poster paper addresses the problem of choosing sets of software components to combine in component
Mark Harman, Alexandros Skaliotis, Kathleen Steinh...