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NIPS
1998
15 years 5 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
SOSP
2007
ACM
16 years 1 months ago
VirtualPower: coordinated power management in virtualized enterprise systems
Power management has become increasingly necessary in large-scale datacenters to address costs and limitations in cooling or power delivery. This paper explores how to integrate p...
Ripal Nathuji, Karsten Schwan
ATAL
2007
Springer
15 years 8 months ago
A reinforcement learning based distributed search algorithm for hierarchical peer-to-peer information retrieval systems
The dominant existing routing strategies employed in peerto-peer(P2P) based information retrieval(IR) systems are similarity-based approaches. In these approaches, agents depend o...
Haizheng Zhang, Victor R. Lesser
AINA
2007
IEEE
15 years 8 months ago
An Agent-Based Architecture for Context-Aware Communication
We propose an agent-based architecture that allows context-aware communication between users. In seeking a model that is suitable for the design of the required functionalities of...
Romelia Plesa, Luigi Logrippo
HPCC
2007
Springer
15 years 10 months ago
Coarse-Grain Time Slicing with Resource-Share Control in Parallel-Job Scheduling
Abstract. We present a parallel job scheduling approach for coarsegrain timesharing which preempts jobs to disk and avoids any additional memory pressure. The approach provides con...
Bryan Esbaugh, Angela C. Sodan