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» Using model knowledge for learning inverse dynamics
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AMAST
2010
Springer
12 years 12 months ago
Learning in a Changing World, an Algebraic Modal Logical Approach
Abstract. We develop an algebraic modal logic that combines epistemic and dynamic modalities with a view to modelling information acquisition (learning) by automated agents in a ch...
Prakash Panangaden, Mehrnoosh Sadrzadeh
AMS
2007
Springer
296views Robotics» more  AMS 2007»
13 years 11 months ago
Learning the Inverse Model of the Dynamics of a Robot Leg by Auto-imitation
Abstract Walking, running and hopping are based on self-stabilizing oscillatory activity. In contrast, aiming movements serve to direct a limb to a desired location and demand a qu...
Karl-Theodor Kalveram, André Seyfarth
IJCAI
2007
13 years 6 months ago
Bayesian Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Deepak Ramachandran, Eyal Amir
ICML
2010
IEEE
13 years 6 months ago
Dynamical Products of Experts for Modeling Financial Time Series
Predicting the "Value at Risk" of a portfolio of stocks is of great significance in quantitative finance. We introduce a new class models, "dynamical products of ex...
Yutian Chen, Max Welling
ICASSP
2008
IEEE
13 years 11 months ago
Audiovisual-to-articulatory speech inversion using Active Appearance Models for the face and Hidden Markov Models for the dynami
We are interested in recovering aspects of vocal tract’s geometry and dynamics from auditory and visual speech cues. We approach the problem in a statistical framework based on ...
Athanassios Katsamanis, George Papandreou, Petros ...