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13 years 10 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 5 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
15 years 1 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 11 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 5 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