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JMLR
2006
116views more  JMLR 2006»
15 years 6 months ago
Point-Based Value Iteration for Continuous POMDPs
We propose a novel approach to optimize Partially Observable Markov Decisions Processes (POMDPs) defined on continuous spaces. To date, most algorithms for model-based POMDPs are ...
Josep M. Porta, Nikos A. Vlassis, Matthijs T. J. S...
IJRR
2010
115views more  IJRR 2010»
15 years 3 months ago
Improving the Efficiency of Clearing with Multi-agent Teams
We present an anytime algorithm for coordinating multiple autonomous searchers to find a potentially adversarial target on a graphical representation of a physical environment. Th...
Geoffrey Hollinger, Sanjiv Singh, Athanasios Kehag...
ATAL
2011
Springer
14 years 6 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
IROS
2007
IEEE
254views Robotics» more  IROS 2007»
16 years 24 days ago
3D datasets segmentation based on local attribute variation
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
Carla Silva Rocha Aguiar, Sébastien Druon, ...
IJRR
2007
104views more  IJRR 2007»
15 years 6 months ago
Deep Space Formation Flying Spacecraft Path Planning
Efficient algorithms for collision-free energy sub-optimal path planning for formations of spacecraft flying in deep space are presented. The idea is to introduce a set of way-poi...
Cornel Sultan, Sanjeev Seereeram, Raman K. Mehra