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» Continuous Capacities on Continuous State Spaces
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AR
2007
105views more  AR 2007»
13 years 8 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
ICCV
2009
IEEE
13 years 6 months ago
Structural SVM for visual localization and continuous state estimation
We present an integrated model for visual object localization and continuous state estimation in a discriminative structured prediction framework. While existing discriminative `p...
Catalin Ionescu, Liefeng Bo, Cristian Sminchisescu
NIPS
2007
13 years 10 months ago
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
Alessandro Lazaric, Marcello Restelli, Andrea Bona...
AAAI
1998
13 years 10 months ago
Applying Online Search Techniques to Continuous-State Reinforcement Learning
In this paper, we describe methods for e ciently computing better solutions to control problems in continuous state spaces. We provide algorithms that exploit online search to boo...
Scott Davies, Andrew Y. Ng, Andrew W. Moore
SIAMADS
2010
83views more  SIAMADS 2010»
13 years 3 months ago
On the State Space Geometry of the Kuramoto-Sivashinsky Flow in a Periodic Domain
Abstract. The continuous and discrete symmetries of the Kuramoto
Predrag Cvitanovic, Ruslan L. Davidchack, Evangelo...