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ECML
2007
Springer
15 years 7 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
114
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WSC
2008
15 years 6 months ago
Modeling and simulation of integrated intelligent systems
Complex systems consist of a large number of entities with their independent local rules and goals, along with their interactions. The effect of these properties tends to produce ...
Yongchang Li, Michael Balchanos, Bassem Nairouz, N...
168
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ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
15 years 2 months ago
Using model knowledge for learning inverse dynamics
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
Duy Nguyen-Tuong, Jan Peters
127
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DATE
2010
IEEE
163views Hardware» more  DATE 2010»
15 years 8 months ago
Efficient High-Level modeling in the networking domain
-- Starting Electronic System Level (ESL) design flows with executable High-Level Models (HLMs) has the potential to sustainably improve productivity. However, writing good HLMs fo...
Christian Zebelein, Joachim Falk, Christian Haubel...
138
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HICSS
2003
IEEE
146views Biometrics» more  HICSS 2003»
15 years 9 months ago
A Model for the Emergence and Diffusion of Software Standards
The economic impact of the growth dynamic of standards is often described from a macroeconomic point of view, employing network effect theory and models dealing with externalities...
Tim Stockheim, Michael Schwind, Wolfgang Köni...