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187
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ICML
2001
IEEE
16 years 8 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
203
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OTM
2004
Springer
16 years 16 days ago
2004
Springer
Globus has become a standard in the construction of Grid computing environments. However, it still needs more work and research to satisfy requirements from various grid applicatio...
153
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WAOA
2004
Springer
16 years 15 days ago
2004
Springer
Borodin, Nielsen and Rackoff [5] proposed a framework for ing the main properties of greedy-like algorithms with emphasis on scheduling problems, and Davis and Impagliazzo [6] ext...
194
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WSC
2008
15 years 9 months ago
2008
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
162
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COR
2010
15 years 7 months ago
2010
In this paper, we consider the recovery of an airline schedule after an unforeseen event called disruption, making the planned schedule infeasible. We present a modeling framework...