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» Managing Complexity in Large Learning Robotic Systems
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EACL
2006
ACL Anthology
13 years 9 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»
14 years 2 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»
13 years 7 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
13 years 5 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»
13 years 7 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