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ECML
2005
Springer
14 years 4 months ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup
RSS
2007
176views Robotics» more  RSS 2007»
14 years 18 days ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
ICRA
2006
IEEE
99views Robotics» more  ICRA 2006»
14 years 5 months ago
MRSAM: a Quadratically Competitive Multi-robot Online Navigation Algorithm
— We explore an online problem where a group of robots has to find a target whose position is unknown in an unknown planar environment whose geometry is acquired by the robots d...
Shahar Sarid, Amir Shapiro, Yoav Gabriely
TSMC
1998
82views more  TSMC 1998»
13 years 10 months ago
To push or not to push: on the rearrangement of movable objects by a mobile robot
—We formulate and address the problem of planning a pushing manipulation by a mobile robot which tries to rearrange several movable objects in its work space. We present an algor...
Ohad Ben-Shahar, Ehud Rivlin
ECCV
1996
Springer
15 years 1 months ago
Euclidean Reconstruction: From Paraperspective to Perspective
In this paper we describe a method to perform Euclidean reconstruction with a perspective camera model. It incrementally performs reconstruction with a paraperspective camera in or...
Stéphane Christy, Radu Horaud