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» On learning in agent-centered search
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WINE
2007
Springer
131views Economy» more  WINE 2007»
16 years 9 days ago
Maintaining Equilibria During Exploration in Sponsored Search Auctions
We introduce an exploration scheme aimed at learning advertiser click-through rates in sponsored search auctions with minimal effect on advertiser incentives. The scheme preserves...
Jennifer Wortman, Yevgeniy Vorobeychik, Lihong Li,...
140
Voted
DAGM
2005
Springer
15 years 11 months ago
Goal-Directed Search with a Top-Down Modulated Computational Attention System
In this paper we present VOCUS: a robust computational attention system for goal-directed search. A standard bottom-up architecture is extended by a top-down component, enabling th...
Simone Frintrop, Gerriet Backer, Erich Rome
AAAI
2010
15 years 7 months ago
Relative Entropy Policy Search
Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature conv...
Jan Peters, Katharina Mülling, Yasemin Altun
CHI
2006
ACM
16 years 6 months ago
In search of end-users
Learning from end-users is essential to participatory design. In order to learn from end-users we need to find end-users to collaborate with. However, finding end-users can be the...
Rachel K. E. Bellamy, Tracee Vetting Wolf, Rhonda ...
ICCD
2006
IEEE
111views Hardware» more  ICCD 2006»
16 years 3 months ago
Implicit Search-Space Aware Cofactor Expansion: A Novel Preimage Computation Technique
Abstract— In this paper, we introduce a novel preimage computation technique that directly computes the circuit cofactors without an explicit search for any satisfiable solution...
Kameshwar Chandrasekar, Michael S. Hsiao