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249
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JMLR
2010
148views more  JMLR 2010»
15 years 1 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
CEC
2009
IEEE
16 years 1 months ago
Evolving morphology and control: A distributed approach
—In this paper we present a model which allows to co-evolve the morphology and the control system of realistically simulated robots (creatures). The method proposed is based on a...
Mariagiovanna Mazzapioda, Angelo Cangelosi, Stefan...
186
Voted
CVPR
2007
IEEE
16 years 1 months ago
Surveillance in Virtual Reality: System Design and Multi-Camera Control
This paper advocates a Virtual Vision paradigm and demonstrates its usefulness in camera sensor network research. Virtual vision prescribes the use of a visually and behaviorally ...
Faisal Qureshi, Demetri Terzopoulos
175
Voted
MMNS
2007
105views Multimedia» more  MMNS 2007»
15 years 8 months ago
Monitoring Flow Aggregates with Controllable Accuracy
In this paper, we show the feasibility of real-time flow monitoring with controllable accuracy in today’s IP networks. Our approach is based on Netflow and A-GAP. A-GAP is a prot...
Alberto Gonzalez Prieto, Rolf Stadler
205
Voted
ESANN
2006
15 years 8 months ago
Magnification control for batch neural gas
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...