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PRICAI
1999
Springer
15 years 9 months ago
Rationality of Reward Sharing in Multi-agent Reinforcement Learning
Abstract. In multi-agent reinforcement learning systems, it is important to share a reward among all agents. We focus on the Rationality Theorem of Profit Sharing [5] and analyze ...
Kazuteru Miyazaki, Shigenobu Kobayashi
CDC
2009
IEEE
186views Control Systems» more  CDC 2009»
15 years 8 months ago
Distributed function and time delay estimation using nonparametric techniques
In this paper we analyze the problem of estimating a function from different noisy data sets collected by spatially distributed sensors and subject to unknown temporal shifts. We p...
Damiano Varagnolo, Gianluigi Pillonetto, Luca Sche...
TCSV
2008
115views more  TCSV 2008»
15 years 4 months ago
Dynamic Proposal Variance and Optimal Particle Allocation in Particle Filtering for Video Tracking
Abstract--This paper presents a novel particle allocation approach to particle filtering which minimizes the total tracking distortion for a fixed number of particles over a video ...
Pan Pan, Dan Schonfeld
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
15 years 2 months ago
Robust hitting with dynamics shaping
The present paper proposes the motion planning based on "the dynamics shaping" for a robotic arm to hit the target robustly toward the desired direction, of which the con...
Tasuku Yamawaki, Yusuke Tsuzuki, Masahito Yashima
CORR
2011
Springer
182views Education» more  CORR 2011»
14 years 11 months ago
Cyber-Physical Attacks in Power Networks: Models, Fundamental Limitations and Monitor Design
— Future power networks will be characterized by safe and reliable functionality against physical malfunctions and cyber attacks. This paper proposes a unified framework and adv...
Fabio Pasqualetti, Florian Dörfler, Francesco...