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» Transfer Learning using Kolmogorov Complexity: Basic Theory ...
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FLAIRS
1998
13 years 6 months ago
Analytical Design of Reinforcement Learning Tasks
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Robert E. Smith
JMLR
2010
148views more  JMLR 2010»
13 years 3 days ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
ECCV
2004
Springer
14 years 7 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
MANSCI
2007
198views more  MANSCI 2007»
13 years 5 months ago
Real Options in Technology Licensing
“Real options” is often viewed as a valuable managerial tool of flexibility and exploration in new technology investment. Real options theory has been criticized, however, due...
Arvids A. Ziedonis
CORR
2011
Springer
219views Education» more  CORR 2011»
13 years 9 days ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla