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CI
2005
106views more  CI 2005»
13 years 7 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
TVCG
2008
151views more  TVCG 2008»
13 years 7 months ago
Visualization of Particle Interactions in Granular Media
Interaction between particles in so-called granular media, such as soil and sand, plays an important role in the context of geomechanical phenomena and numerous industrial applicat...
Holger A. Meier, Michael Schlemmer, Christian Wagn...
ALGORITHMICA
2004
111views more  ALGORITHMICA 2004»
13 years 7 months ago
Non-Clairvoyant Scheduling for Minimizing Mean Slowdown
We consider the problem of scheduling dynamically arriving jobs in a non-clairvoyant setting, that is, when the size of a job in remains unknown until the job finishes execution. ...
Nikhil Bansal, Kedar Dhamdhere, Jochen Könema...
AI
2002
Springer
13 years 7 months ago
Algorithm for optimal winner determination in combinatorial auctions
Combinatorial auctions, that is, auctions where bidders can bid on combinations of items, tend to lead to more efficient allocations than traditional auction mechanisms in multi-i...
Tuomas Sandholm
AR
2004
107views more  AR 2004»
13 years 7 months ago
Inevitable collision states - a step towards safer robots?
-- An inevitable collision state for a robotic system can be defined as a state for which, no matter what the future trajectory followed by the system is, a collision with an obsta...
Thierry Fraichard, Hajime Asama
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