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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
ESORICS
2009
Springer
16 years 7 months ago
Keep a Few: Outsourcing Data While Maintaining Confidentiality
We put forward a novel paradigm for preserving privacy in data outsourcing which departs from encryption. The basic idea behind our proposal is to involve the owner in storing a li...
Valentina Ciriani, Sabrina De Capitani di Vimercat...
VLSID
2002
IEEE
160views VLSI» more  VLSID 2002»
16 years 7 months ago
An Efficient Hierarchical Timing-Driven Steiner Tree Algorithm for Global Routing
In this paper, we propose a hierarchical timing-driven Steiner tree algorithm for global routing which considers the minimization of timing delay during the tree construction as t...
Jingyu Xu, Xianlong Hong, Tong Jing, Yici Cai, Jun...
HIPEAC
2010
Springer
16 years 3 months ago
Performance and Power Aware CMP Thread Allocation Modeling
We address the problem of performance and power-efficient thread allocation in a CMP. To that end, based on analytical model, we introduce a parameterized performance/power metric ...
Yaniv Ben-Itzhak, Israel Cidon, Avinoam Kolodny
ASM
2010
ASM
16 years 1 months ago
Alloy+HotCore: A Fast Approximation to Unsat Core
Identifying a minimal unsatisfiable core in an Alloy model proved to be a very useful feature in many scenarios. We extend this concept to hot core, an approximation to unsat core...
Nicolás D'Ippolito, Marcelo F. Frias, Juan ...