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» A-FAST: Autonomous Flow Approach to Scheduling Tasks
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CF
2005
ACM
13 years 7 months ago
Dynamic loop pipelining in data-driven architectures
Data-driven array architectures seem to be important alternatives for coarse-grained reconfigurable computing platforms. Their use has provided performance improvements over micro...
João M. P. Cardoso
AGENTS
2001
Springer
13 years 10 months ago
Hierarchical multi-agent reinforcement learning
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
ADC
2006
Springer
135views Database» more  ADC 2006»
13 years 11 months ago
Using a temporal constraint network for business process execution
Business process management (BPM) has emerged as a dominant technology in current enterprise systems and business solutions. However, the technology continues to face challenges i...
Ruopeng Lu, Shazia Wasim Sadiq, Vineet Padmanabhan...
WWW
2003
ACM
14 years 6 months ago
Monitoring the dynamic web to respond to continuous queries
Continuous queries are queries for which responses given to users must be continuously updated, as the sources of interest get updated. Such queries occur, for instance, during on...
Sandeep Pandey, Krithi Ramamritham, Soumen Chakrab...
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 5 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná