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AIPS
2010
15 years 2 months ago
When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
Emma Brunskill
CRV
2006
IEEE
176views Robotics» more  CRV 2006»
15 years 1 months ago
Stereo Retinex
The retinex algorithm for lightness and color constancy is extended to include 3-dimensional spatial information reconstructed from a stereo image. A key aspect of traditional ret...
Weihua Xiong, Brian V. Funt
RSS
2007
136views Robotics» more  RSS 2007»
15 years 1 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. ...
DATE
2008
IEEE
145views Hardware» more  DATE 2008»
15 years 6 months ago
Minimizing Virtual Channel Buffer for Routers in On-chip Communication Architectures
We present a novel methodology for design space exploration using a two-steps scheme to optimize the number of virtual channel buffers (buffers take the premier share of the route...
Mohammad Abdullah Al Faruque, Jörg Henkel
DAGSTUHL
2007
15 years 1 months ago
Logical Particle Filtering
Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...
Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack ...