7311 search results - page 371 / 1463 » Time in State Machines |
191
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HPCC
2007
Springer
16 years 1 months ago
2007
Springer
Deploying Grid technologies by distributing an application over several machines has been widely used for scientific simulations, which have large requirements for computational r...
214
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ICML
2008
IEEE
16 years 8 months ago
2008
IEEE
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
186
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ICML
2008
IEEE
16 years 8 months ago
2008
IEEE
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
195
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ICML
2006
IEEE
16 years 8 months ago
2006
IEEE
For a Markov Decision Process with finite state (size S) and action spaces (size A per state), we propose a new algorithm--Delayed Q-Learning. We prove it is PAC, achieving near o...
223
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ICML
2005
IEEE
16 years 8 months ago
2005
IEEE
This paper explores the issue of recognizing, generalizing and reproducing arbitrary gestures. We aim at extracting a representation that encapsulates only the key aspects of the ...