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COLT
2000
Springer
14 years 11 days ago
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process (  ¢¡¤£¦¥§  ), and focus on gradient ascent approache...
Peter L. Bartlett, Jonathan Baxter
CLUSTER
2008
IEEE
14 years 2 months ago
Empirical-based probabilistic upper bounds for urgent computing applications
—Scientific simulation and modeling often aid in making critical decisions in such diverse fields as city planning, severe weather prediction and influenza modeling. In some o...
Nick Trebon, Peter H. Beckman
ATAL
2005
Springer
14 years 1 months ago
Emotion based adaptive reasoning for resource bounded agents
In the design of resource bounded agents, high-level cognitive activities, such as reasoning, raise important problems related both to the adaptive ability and to the computationa...
Luís Morgado, Graça Gaspar
IWQOS
2004
Springer
14 years 1 months ago
Network calculus meets queueing theory -a simulation based approach to bounded queues
— Quality of Service (QoS) is an area with high academic curiosity. Our long-term goal is to develop a unified mathematical model. This paper is a first step towards this ambit...
Krishna Pandit, Jens Schmitt, Ralf Steinmetz
ADHOCNOW
2008
Springer
13 years 9 months ago
A Lower Bound on the Capacity of Wireless Ad Hoc Networks with Cooperating Nodes
In this paper, we consider the effects on network capacity when the nodes of an ad hoc network are allowed to cooperate. These results are then compared to the theoretical upper b...
Anthony S. Acampora, Louisa Pui Sum Ip