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AGENTS
2001
Springer
15 years 2 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...
IHI
2010
106views Healthcare» more  IHI 2010»
14 years 4 months ago
Identifying opportunities for inpatient-centric technology
The evolution from a disease-centered model of care to a more patient-centered model presents opportunities for going beyond designing technology to support medical professionals ...
Meredith M. Skeels, Desney S. Tan
ICAC
2006
IEEE
15 years 3 months ago
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...
VISUALIZATION
2000
IEEE
15 years 2 months ago
Navigating high-dimensional spaces to support design steering
Throughout the design cycle, visualization, whether a sketch scribbled on the back of a spare piece of paper or a fully detailed drawing, has been the mainstay of design: we need ...
Helen Wright, Ken Brodlie, Tim David
PATMOS
2007
Springer
15 years 3 months ago
A Statistical Approach to the Timing-Yield Optimization of Pipeline Circuits
Abstract. The continuous miniaturization of semiconductor devices imposes serious threats to design robustness against process variations and environmental fluctuations. Modern ci...
Chin-Hsiung Hsu, Szu-Jui Chou, Jie-Hong Roland Jia...