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JMLR
2010
103views more  JMLR 2010»
13 years 16 days ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider
NIPS
2008
13 years 7 months ago
Using Bayesian Dynamical Systems for Motion Template Libraries
Motor primitives or motion templates have become an important concept for both modeling human motor control as well as generating robot behaviors using imitation learning. Recent ...
Silvia Chiappa, Jens Kober, Jan Peters
JAIR
2008
113views more  JAIR 2008»
13 years 5 months ago
Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...
Bart van den Broek, Wim Wiegerinck, Bert Kappen
ICRA
2007
IEEE
159views Robotics» more  ICRA 2007»
14 years 1 days ago
Two Vision-guided vehicles: temporal coordination using nonlinear dynamical systems
— This article addresses the problem of generating timed trajectories and temporally coordinated movements for two wheeled vehicles, when relatively low-level, noisy sensorial in...
Cristina P. Santos, Manuel Ferreira
ESANN
1998
13 years 7 months ago
Lazy learning for control design
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
Gianluca Bontempi, Mauro Birattari, Hugues Bersini