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PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 5 months ago
Laplacian Spectrum Learning
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
Pannagadatta K. Shivaswamy, Tony Jebara
PKDD
2010
Springer
122views Data Mining» more  PKDD 2010»
15 years 5 months ago
Exploration in Relational Worlds
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
Tobias Lang, Marc Toussaint, Kristian Kersting
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 5 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
PPSN
2010
Springer
15 years 5 months ago
Topography-Aware Sensor Deployment Optimization with CMA-ES
Abstract. Wireless Sensor Networks (WSN) have been studied intensively for various applications such as monitoring and surveillance. Sensor deployment is an essential part of WSN, ...
Vahab Akbarzadeh, Albert Hung-Ren Ko, Christian Ga...
SAB
2010
Springer
226views Optimization» more  SAB 2010»
15 years 5 months ago
Distributed Online Learning of Central Pattern Generators in Modular Robots
Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...
David Johan Christensen, Alexander Spröwitz, ...
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