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126
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ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
15 years 9 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...
128
Voted
ICML
2004
IEEE
16 years 3 months ago
Learning to fly by combining reinforcement learning with behavioural cloning
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
Eduardo F. Morales, Claude Sammut
153
Voted
VIS
2007
IEEE
199views Visualization» more  VIS 2007»
16 years 3 months ago
Topology, Accuracy, and Quality of Isosurface Meshes Using Dynamic Particles
Abstract-This paper describes a method for constructing isosurface triangulations of sampled, volumetric, three-dimensional scalar fields. The resulting meshes consist of triangles...
Miriah Meyer, Robert M. Kirby, Ross Whitaker
ISSAC
1997
Springer
194views Mathematics» more  ISSAC 1997»
15 years 6 months ago
The Minimised Geometric Buchberger Algorithm: An Optimal Algebraic Algorithm for Integer Programming
IP problems characterise combinatorial optimisation problems where conventional numerical methods based on the hill-climbing technique can not be directly applied. Conventional me...
Qiang Li, Yike Guo, Tetsuo Ida, John Darlington
AAAI
2008
15 years 4 months ago
Expressive Banner Ad Auctions and Model-Based Online Optimization for Clearing
We present the design of a banner advertising auction which is considerably more expressive than current designs. We describe a general model of expressive ad contracts/bidding an...
Craig Boutilier, David C. Parkes, Tuomas Sandholm,...