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» State Aggregation and Population Dynamics in Linear Systems
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ICML
2005
IEEE
14 years 9 months ago
Exploration and apprenticeship learning in reinforcement learning
We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
Pieter Abbeel, Andrew Y. Ng
ICAT
2003
IEEE
14 years 2 months ago
Head Motion Prediction in Augmented Reality Systems Using Monte Carlo Particle Filters
A basic problem with Augmented Reality systems using Head-Mounted Displays (HMDs) is the perceived latency or lag. This delay corresponds to the elapsed time between the moment wh...
Fakhreddine Ababsa, Jean-Yves Didier, Malik Mallem...
CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
13 years 3 months ago
Learning in mean-field oscillator games
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday...
DEDS
1998
152views more  DEDS 1998»
13 years 8 months ago
Timed Petri Nets in Hybrid Systems: Stability and Supervisory Control
In this paper, timed Petri nets are used to model and control hybrid systems. Petri nets are used instead of finite automata primarily because of the advantages they offer in de...
Xenofon D. Koutsoukos, Kevin X. He, Michael D. Lem...
CORR
2008
Springer
119views Education» more  CORR 2008»
13 years 9 months ago
Self-stabilizing Numerical Iterative Computation
Many challenging tasks in sensor networks, including sensor calibration, ranking of nodes, monitoring, event region detection, collaborative filtering, collaborative signal proces...
Ezra N. Hoch, Danny Bickson, Danny Dolev