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AMAI
2004
Springer
15 years 3 months ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
103
Voted
TROB
2010
129views more  TROB 2010»
14 years 8 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
IFIP
2003
Springer
15 years 3 months ago
A Probabilistic Topology Unaware TDMA Medium Access Control Policy for Ad Hoc Environments
The design of an efficient Medium Access Control (MAC) is challenging in ad-hoc networks where users can enter, leave or move inside the network without any need for prior configu...
Konstantinos Oikonomou, Ioannis Stavrakakis
ICPR
2010
IEEE
14 years 10 months ago
A Probabilistic Language Model for Hand Drawings
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
Abdullah Akce, Timothy Bretl
AIM
2000
14 years 10 months ago
Probabilistic Algorithms in Robotics
This article describes a methodology for programming robots known as probabilistic robotics. The probabilistic paradigm pays tribute to the inherent uncertainty in robot perceptio...
Sebastian Thrun