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» On Online Learning of Decision Lists
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ETS
2000
IEEE
220views Hardware» more  ETS 2000»
15 years 1 months ago
Law On-Line: A Collaborative, Web-Based Journey in the Law and Social Sciences
During Spring 1998, we embarked on pedagogical journey into unknown terrains -- the terrains of collaborative teaching and World Wide Web instruction. In this paper we present a j...
Cynthia L. Cates, Wayne V. McIntosh
LION
2007
Springer
192views Optimization» more  LION 2007»
15 years 8 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
ICAC
2006
IEEE
15 years 8 months ago
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...
150
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JMLR
2010
189views more  JMLR 2010»
14 years 8 months ago
Adaptive Step-size Policy Gradients with Average Reward Metric
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
Takamitsu Matsubara, Tetsuro Morimura, Jun Morimot...
CI
2002
92views more  CI 2002»
15 years 1 months ago
Model Selection in an Information Economy: Choosing What to Learn
As online markets for the exchange of goods and services become more common, the study of markets composed at least in part of autonomous agents has taken on increasing importance...
Christopher H. Brooks, Robert S. Gazzale, Rajarshi...