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FOCS
2007
IEEE
15 years 4 months ago
Approximation Algorithms for Partial-Information Based Stochastic Control with Markovian Rewards
We consider a variant of the classic multi-armed bandit problem (MAB), which we call FEEDBACK MAB, where the reward obtained by playing each of n independent arms varies according...
Sudipto Guha, Kamesh Munagala
PAMI
2010
180views more  PAMI 2010»
14 years 4 months ago
Point Set Registration via Particle Filtering and Stochastic Dynamics
In this paper, we propose a particle filtering approach for the problem of registering two point sets that differ by a rigid body transformation. Typically, registration algorithms...
Romeil Sandhu, Samuel Dambreville, Allen Tannenbau...
ICALP
2007
Springer
15 years 4 months ago
Continuous Capacities on Continuous State Spaces
We propose axiomatizing some stochastic games, in a continuous state space setting, using continuous belief functions, resp. plausibilities, instead of measures. Then, stochastic g...
Jean Goubault-Larrecq
RSS
2007
136views Robotics» more  RSS 2007»
14 years 11 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...
CDC
2008
IEEE
120views Control Systems» more  CDC 2008»
15 years 4 months ago
Approximate abstractions of discrete-time controlled stochastic hybrid systems
ate Abstractions of Discrete-Time Controlled Stochastic Hybrid Systems Alessandro D’Innocenzo, Alessandro Abate, and Maria D. Di Benedetto — This work proposes a procedure to c...
Alessandro D'Innocenzo, Alessandro Abate, Maria Do...