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» Observing Functional Logic Computations
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ICML
2008
IEEE
16 years 3 months ago
Efficiently learning linear-linear exponential family predictive representations of state
Exponential Family PSR (EFPSR) models capture stochastic dynamical systems by representing state as the parameters of an exponential family distribution over a shortterm window of...
David Wingate, Satinder P. Singh
ECCV
2002
Springer
16 years 4 months ago
Computing the Physical Parameters of Rigid-Body Motion from Video
Abstract. This paper presents an optimization framework for estimating the motion and underlying physical parameters of a rigid body in free flight from video. The algorithm takes ...
Kiran S. Bhat, Steven M. Seitz, Jovan Popovic
ATAL
2010
Springer
15 years 4 months ago
Combining statistics and arguments to compute trust
We propose a method for constructing Dempster-Shafer belief functions modeling the trust of a given agent (the evaluator) in another (the target) by combining statistical informat...
Paul-Amaury Matt, Maxime Morge, Francesca Toni
ATAL
2004
Springer
15 years 8 months ago
Communication for Improving Policy Computation in Distributed POMDPs
Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to joi...
Ranjit Nair, Milind Tambe, Maayan Roth, Makoto Yok...
IJCAI
2003
15 years 4 months ago
Taming Decentralized POMDPs: Towards Efficient Policy Computation for Multiagent Settings
The problem of deriving joint policies for a group of agents that maximize some joint reward function can be modeled as a decentralized partially observable Markov decision proces...
Ranjit Nair, Milind Tambe, Makoto Yokoo, David V. ...