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» Compositional Models for Reinforcement Learning
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NIPS
1998
13 years 9 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
BC
2006
124views more  BC 2006»
13 years 7 months ago
Motor-maps, navigation and implicit space representation in the hippocampus
Abstract Multiple sensory-motor maps located in the brainstem and the cortex are involved in spatial orientation. Guiding movements of eyes, head, neck and arms they provide an app...
Alexander Kaske, Gösta Winberg, Joakim Cö...
MM
2010
ACM
219views Multimedia» more  MM 2010»
13 years 7 months ago
A framework for photo-quality assessment and enhancement based on visual aesthetics
We present an interactive application that enables users to improve the visual aesthetics of their digital photographs using spatial recomposition. Unlike earlier work that focuse...
Subhabrata Bhattacharya, Rahul Sukthankar, Mubarak...
ICCV
2007
IEEE
14 years 9 months ago
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu...
ACL
1998
13 years 9 months ago
A Generative Lexicon Perspective for Adjectival Modification
This paper presents a semantic interpretation of adjectival modification in terms of the Generative Lexicon. It highlights the elements which can be borrowed from the GL and devel...
Patrick Saint-Dizier