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ICDE
2010
IEEE
181views Database» more  ICDE 2010»
13 years 10 months ago
Navigating through Mashed-up Applications with COMPASS
Abstract-- Mashups integrate a set of complementary Webservices and data sources, often referred to as mashlets. We consider here a common scenario where the integrated mashlets ar...
Daniel Deutch, Ohad Greenshpan, Tova Milo
EWCBR
2008
Springer
13 years 9 months ago
Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
Bryan Auslander, Stephen Lee-Urban, Chad Hogg, H&e...
ESANN
2007
13 years 9 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...
AAAI
1990
13 years 8 months ago
Becoming Increasingly Reactive
We describe a robot control architecture which combines a stimulus-response subsystem for rapid reaction, with a search-based planner for handling unanticipated situations. The ro...
Tom M. Mitchell
JMLR
2010
163views more  JMLR 2010»
13 years 2 months ago
Active Sequential Learning with Tactile Feedback
We consider the problem of tactile discrimination, with the goal of estimating an underlying state parameter in a sequential setting. If the data is continuous and highdimensional...
Hannes Saal, Jo-Anne Ting, Sethu Vijayakumar