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13 years 8 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
AUSAI
2005
Springer
15 years 3 months ago
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Peter Vamplew, Robert Ollington
AAAI
2010
14 years 11 months ago
Security Games with Arbitrary Schedules: A Branch and Price Approach
Security games, and important class of Stackelberg games, are used in deployed decision-support tools in use by LAX police and the Federal Air Marshals Service. The algorithms use...
Manish Jain, Erim Kardes, Christopher Kiekintveld,...
JCSS
2007
63views more  JCSS 2007»
14 years 9 months ago
Holistic analysis of asynchronous real-time transactions with earliest deadline scheduling
In distributed real-time systems, an application is often modeled as a set of real-time transactions, where each transaction is a chain of precedence-constrained tasks. Each task ...
Rodolfo Pellizzoni, Giuseppe Lipari
INFOCOM
2003
IEEE
15 years 3 months ago
Distributed Admission Control to Support Guaranteed Services in Core-Stateless Networks
— The core-stateless service architecture alleviates the scalability problems of the integrated service framework while maintaining its guaranteed service semantics. The admissio...
Sudeept Bhatnagar, B. R. Badrinath