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» Abstracting from Failure Probabilities
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NIPS
1993
15 years 5 months ago
Robust Reinforcement Learning in Motion Planning
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...
JSAC
2007
121views more  JSAC 2007»
15 years 4 months ago
Spare Capacity Allocation in Two-Layer Networks
Abstract— In this paper we consider the problem of provisioning spare capacity in two-layer backbone networks using shared backup path protection. First, two spare capacity alloc...
Yu Liu, David Tipper, K. Vajanapoom
ICDCN
2010
Springer
15 years 2 months ago
K-Directory Community: Reliable Service Discovery in MANET
Abstract. Service discovery in MANET suffers from frequent service unavailability due to failures of service providers or directory nodes. Ensuring network-wide service availabilit...
Vaskar Raychoudhury, Jiannong Cao, Weigang Wu, Yi ...
DSN
2011
IEEE
14 years 4 months ago
Coercing clients into facilitating failover for object delivery
Abstract—Application-level protocols used for object delivery, such as HTTP, are built atop TCP/IP and inherit its hostabstraction. Given that these services are replicated for s...
Wyatt Lloyd, Michael J. Freedman
MIDDLEWARE
2004
Springer
15 years 9 months ago
Adaptive middleware for context-aware applications in smart-homes
We propose an adaptive middleware design for context-aware applications that abstracts the applications from the sensors that provide context. Further, we use application-specifi...
Markus C. Huebscher, Julie A. McCann