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» Using model knowledge for learning inverse dynamics
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TROB
2010
159views more  TROB 2010»
13 years 3 months ago
Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Ales Ude, Andrej Gams, Tamim Asfour, Jun Morimoto
WSC
2007
13 years 11 months ago
Optimizing time warp simulation with reinforcement learning techniques
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Jun Wang, Carl Tropper
CORR
2011
Springer
230views Education» more  CORR 2011»
13 years 3 months ago
Computational Rationalization: The Inverse Equilibrium Problem
Modeling the behavior of imperfect agents from a small number of observations is a difficult, but important task. In the singleagent decision-theoretic setting, inverse optimal co...
Kevin Waugh, Brian Ziebart, J. Andrew Bagnell
SEAAI
1998
Springer
14 years 25 days ago
Using knowledge nodes for knowledge discovery and collaboration
Today most of the information we produce is stored digitally. We are slowly forced to leave behind us thinking about information as something stored in physical containers as books...
Per Christiansson
IJCNLP
2005
Springer
14 years 2 months ago
Inversion Transduction Grammar Constraints for Mining Parallel Sentences from Quasi-Comparable Corpora
Abstract. We present a new implication of Wu’s (1997) Inversion Transduction Grammar (ITG) Hypothesis, on the problem of retrieving truly parallel sentence translations from larg...
Dekai Wu, Pascale Fung