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» Managing Complexity in Large Learning Robotic Systems
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EACL
2006
ACL Anthology
15 years 2 months ago
Using Reinforcement Learning to Build a Better Model of Dialogue State
Given the growing complexity of tasks that spoken dialogue systems are trying to handle, Reinforcement Learning (RL) has been increasingly used as a way of automatically learning ...
Joel R. Tetreault, Diane J. Litman
IROS
2008
IEEE
172views Robotics» more  IROS 2008»
15 years 7 months ago
Motion planning in urban environments: Part II
— We present the motion planning framework for an autonomous vehicle navigating through urban environments. Such environments present a number of motion planning challenges, incl...
Dave Ferguson, Thomas M. Howard, Maxim Likhachev
TSMC
2008
229views more  TSMC 2008»
15 years 1 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
RTAS
2010
IEEE
14 years 11 months ago
Improved Task Management Techniques for Enforcing EDF Scheduling on Recurring Tasks
The management of tasks is an essential requirement in most real-time and embedded systems, but invariably leads to unwanted CPU overheads. This paper is concerned with task manage...
Michael Short
CN
2004
115views more  CN 2004»
15 years 1 months ago
Bandwidth provisioning and pricing for networks with multiple classes of service
Network service providers purchase large point-to-point connections from network owners, then offer individual users network access at a price. Appropriately provisioning (purchas...
Errin W. Fulp, Douglas S. Reeves