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» Load estimation and control using learned dynamics models
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AAAI
2008
13 years 10 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
CORR
2010
Springer
166views Education» more  CORR 2010»
13 years 7 months ago
A new closed-loop output error method for parameter identification of robot dynamics
Off-line robot dynamic identification methods are mostly based on the use of the inverse dynamic model, which is linear with respect to the dynamic parameters. This model is sample...
Maxime Gautier, Alexandre Janot, Pierre-Olivier Va...
TIP
2008
169views more  TIP 2008»
13 years 7 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
CDC
2009
IEEE
170views Control Systems» more  CDC 2009»
14 years 15 days ago
Adaptive constraint-filtering method and its application to GPS positioning
—To deal with the estimation problem for systems subject to constraints while the corresponding noise processes are not completely known, the adaptive constraint-filtering method...
Tsai-Hsin Chang, Li-Sheng Wang, Fan-Ren Chang
SAFECOMP
2007
Springer
14 years 1 months ago
Controller Architecture for Safe Cognitive Technical Systems
Abstract. Cognition of technical systems, as the ability to perceive situations, to learn about favorable behavior, and to autonomously generate decisions, adds new attributes to s...
Sebastian Kain, Hao Ding, Frank Schiller, Olaf Stu...