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128
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AR
2007
105views more  AR 2007»
15 years 3 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...
CCE
2006
15 years 3 months ago
An efficient algorithm for large scale stochastic nonlinear programming problems
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
Y. Shastri, Urmila M. Diwekar
CORR
2007
Springer
143views Education» more  CORR 2007»
15 years 3 months ago
On Myopic Sensing for Multi-Channel Opportunistic Access
We consider a multi-channel opportunistic communication system where the states of these channels evolve as independent and statistically identical Markov chains (the Gilbert-Elli...
Qing Zhao, Bhaskar Krishnamachari, Keqin Liu
132
Voted
TCS
2008
15 years 3 months ago
A timed semantics of Orc
Orc is a kernel language for structured concurrent programming. Orc provides three powerful combinators that define the structure of a concurrent computation. These combinators su...
Ian Wehrman, David Kitchin, William R. Cook, Jayad...
108
Voted
TOG
2008
90views more  TOG 2008»
15 years 3 months ago
Interactive example-based urban layout synthesis
We present an interactive system for synthesizing urban layouts by example. Our method simultaneously performs both a structurebased synthesis and an image-based synthesis to gene...
Daniel G. Aliaga, Carlos A. Vanegas, Bedrich Benes
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