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» Optimizing interconnection policies
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IJCAI
2001
13 years 11 months ago
Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
Gregory Z. Grudic, Lyle H. Ungar
TPDS
2008
72views more  TPDS 2008»
13 years 9 months ago
Replica Placement and Access Policies in Tree Networks
In this paper, we discuss and compare several policies to place replicas in tree networks, subject to server capacity and Quality of Service (QoS) constraints. The client requests ...
Anne Benoit, Veronika Rehn-Sonigo, Yves Robert
JAIR
2011
144views more  JAIR 2011»
13 years 4 months ago
Non-Deterministic Policies in Markovian Decision Processes
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Mahdi Milani Fard, Joelle Pineau
PERCOM
2009
ACM
14 years 4 months ago
Distributed Policy Resolution Through Negotiation in Ubiquitous Computing Environments
—Ensuring spontaneous ad hoc interoperation in decentralized ubiquitous computing environments is challenging, because of heterogeneous resources and divergent policies. Centrali...
Venkatraman Ramakrishna, Peter L. Reiher, Leonard ...
TVLSI
2008
85views more  TVLSI 2008»
13 years 9 months ago
Low-Complexity Policies for Energy-Performance Tradeoff in Chip-Multi-Processors
Chip-Multi-Processors (CMP) utilize multiple energy-efficient Processing Elements (PEs) to deliver high performance while maintaining an efficient ratio of performance to energy-c...
A. Elyada, Ran Ginosar, Uri Weiser