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» Maximal Introspection of Agents
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SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
13 years 1 months ago
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, D...
ICML
2005
IEEE
15 years 11 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli
ICMCS
2007
IEEE
153views Multimedia» more  ICMCS 2007»
15 years 5 months ago
Towards Adversary Aware Surveillance Systems
We consider surveillance problems to be a set of system- adversary interaction problems in which an adversary can be modeled as a rational (selfish) agent trying to maximize his ...
Vivek K. Singh, Mohan S. Kankanhalli
DEXAW
2003
IEEE
96views Database» more  DEXAW 2003»
15 years 4 months ago
Self-Organizing Resource Allocation for Autonomic Networks
Application-layer networks (ALN) are software architectures that allow the provisioning of services requiring a huge amount of resources by connecting large numbers of individual ...
Torsten Eymann, Michael Reinicke, Oscar Ardaiz, Pa...
IJCAI
2003
15 years 2 days ago
Probabilistically Survivable MASs
Muhiagent systems (MAS) can "go down" for a large number of reasons, ranging from system malfunctions and power failures to malicious attacks. The placement of agents on...
Sarit Kraus, V. S. Subrahmanian, N. Cihan Tas