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AIIA
2007
Springer
14 years 1 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
SC
2003
ACM
14 years 21 days ago
Compiler Support for Exploiting Coarse-Grained Pipelined Parallelism
The emergence of grid and a new class of data-driven applications is making a new form of parallelism desirable, which we refer to as coarse-grained pipelined parallelism. This pa...
Wei Du, Renato Ferreira, Gagan Agrawal
SIGGRAPH
1996
ACM
13 years 11 months ago
Real-Time, Continuous Level of Detail Rendering of Height Fields
We present an algorithm for real-time level of detail reduction and display of high-complexity polygonal surface data. The algorithm uses a compact and efficient regular grid repr...
Peter Lindstrom, David Koller, William Ribarsky, L...
CPHYSICS
2010
88views more  CPHYSICS 2010»
13 years 7 months ago
Distributed computing as a virtual supercomputer: Tools to run and manage large-scale BOINC simulations
Distributed computing (DC) projects tackle large computational problems by exploiting the donated processing power of thousands of volunteered computers, connected through the Int...
Toni Giorgino, Matt J. Harvey, Gianni De Fabritiis
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
13 years 6 months ago
Trajectory prediction in cluttered voxel environments
Abstract— Trajectory planning and optimization is a fundamental problem in articulated robotics. It is often viewed as a two phase problem of initial feasible path planning aroun...
Nikolay Jetchev, Marc Toussaint