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JMLR
2012
13 years 9 months ago
Contextual Bandit Learning with Predictable Rewards
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
Alekh Agarwal, Miroslav Dudík, Satyen Kale,...
HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
16 years 20 days ago
Detecting Document Genre for Personalization of Information Retrieval
We report on the effectiveness of language models for personalization of retrieval results based on a searcher’s preference for document genre. In principle, such preferences ca...
Gheorghe Muresan, Catherine L. Smith, Michael Cole...
ICALP
2003
Springer
15 years 12 months ago
On the Axiomatizability of Ready Traces, Ready Simulation, and Failure Traces
We provide an answer to an open question, posed by van Glabbeek [4], regarding the axiomatizability of ready trace semantics. We prove that if the alphabet of actions is finite, t...
Stefan Blom, Wan Fokkink, Sumit Nain
KI
1997
Springer
15 years 10 months ago
Agents in Proactive Environments
Abstract. Agents situated in proactive environments are acting autonomously while the environment is evolving alongside, whether or not the agents carry out any particular actions....
Dov M. Gabbay, Rolf Nossum, Michael Thielscher
ACL
1997
15 years 8 months ago
Learning Parse and Translation Decisions from Examples with Rich Context
We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning t...
Ulf Hermjakob, Raymond J. Mooney