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» Learning Control Knowledge for Forward Search Planning
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NIPS
1993
13 years 9 months ago
Robust Reinforcement Learning in Motion Planning
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...
PKDD
2010
Springer
168views Data Mining» more  PKDD 2010»
13 years 6 months ago
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...
IJCAI
2001
13 years 9 months ago
Keyword Spices: A New Method for Building Domain-Specific Web Search Engines
This paper presents a new method for building domain-specific web search engines. Previous methods eliminate irrelevant documents from the pages accessed using heuristics based on...
Satoshi Oyama, Takashi Kokubo, Toru Ishida, Teruhi...
FLAIRS
2009
13 years 5 months ago
Lifting the Limitations in a Rule-based Policy Language
The predicates that are used to encode a planning domain in PDDL often do not include concepts that are important for effectively reasoning about problems in the domain. In partic...
Alan Lindsay, Maria Fox, Derek Long
FLAIRS
2007
13 years 10 months ago
Guiding Inference with Policy Search Reinforcement Learning
Symbolic reasoning is a well understood and effective approach to handling reasoning over formally represented knowledge; however, simple symbolic inference systems necessarily sl...
Matthew E. Taylor, Cynthia Matuszek, Pace Reagan S...