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» A Framework for Scheduler Synthesis
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ICML
2001
IEEE
16 years 7 months ago
Continuous-Time Hierarchical Reinforcement Learning
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...
Mohammad Ghavamzadeh, Sridhar Mahadevan
ICSE
2003
IEEE-ACM
16 years 6 months ago
Understanding and Predicting Effort in Software Projects
We set out to answer a question we were asked by software project management: how much effort remains to be spent on a specific software project and how will that effort be distri...
Audris Mockus, David M. Weiss, Ping Zhang
OTM
2004
Springer
15 years 11 months ago
MSF: A Workflow Service Infrastructure for Computational Grid Environments
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...
Seogchan Hwang, Jaeyoung Choi
WAOA
2004
Springer
107views Algorithms» more  WAOA 2004»
15 years 11 months ago
Order-Preserving Transformations and Greedy-Like Algorithms
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...
Spyros Angelopoulos
WSC
2008
15 years 8 months ago
Approximate dynamic programming: Lessons from the field
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...
Warren B. Powell