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AAAI
2012
11 years 10 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
KI
2009
Springer
14 years 2 months ago
Machine Learning Techniques for Selforganizing Combustion Control
Abstract. This paper presents the overall system of a learning, selforganizing, and adaptive controller used to optimize the combustion process in a hard-coal fired power plant. T...
Erik Schaffernicht, Volker Stephan, Klaus Debes, H...
ISCAS
2007
IEEE
122views Hardware» more  ISCAS 2007»
14 years 1 months ago
Multi-Channel Coherent Detection for Delay-Insensitive Model-Free Adaptive Control
— A mixed-signal architecture for continuous-time multidimensional model-free optimization is presented. It is based on multi-channel coherent modulation and detection that relia...
Dimitrios N. Loizos, Paul-Peter Sotiriadis, Gert C...
ICC
2007
IEEE
187views Communications» more  ICC 2007»
14 years 1 months ago
A Rate Control Scheme for Adaptive Video Streaming Over the Internet
—In this paper, we propose a new streaming protocol, namely Dynamic Video Rate Control (DVRC), which enables adaptive video delivery over the Internet. DVRC operates on top of UD...
Panagiotis Papadimitriou, Vassilis Tsaoussidis
IROS
2009
IEEE
185views Robotics» more  IROS 2009»
14 years 2 months ago
Constraint task-based control in industrial settings
Abstract— Direct physical human-robot interaction has become a central part in the research field of robotics today. To use the advantages of the potential for humans and robots...
Claus Lenz, Markus Rickert, Giorgio Panin, Alois K...