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ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
14 years 5 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
ICML
2007
IEEE
14 years 11 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
AAAI
2010
14 years 14 days ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He
PODC
2012
ACM
12 years 1 months ago
On the price of equivocation in byzantine agreement
In the Byzantine agreement problem, a set of n processors, any f of whom may be arbitrarily faulty, must reach agreement on a value proposed by one of the correct processors. It i...
Alexander Jaffe, Thomas Moscibroda, Siddhartha Sen
CORR
2007
Springer
97views Education» more  CORR 2007»
13 years 11 months ago
Estimation of the Rate-Distortion Function
—Motivated by questions in lossy data compression and by theoretical considerations, the problem of estimating the rate-distortion function of an unknown (not necessarily discret...
Matthew T. Harrison, Ioannis Kontoyiannis