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» Using inaccurate models in reinforcement learning
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CSL
2010
Springer
13 years 7 months ago
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
Blaise Thomson, Steve Young
ICML
1998
IEEE
14 years 8 months ago
Value Function Based Production Scheduling
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
Jeff G. Schneider, Justin A. Boyan, Andrew W. Moor...
IROS
2007
IEEE
172views Robotics» more  IROS 2007»
14 years 2 months ago
Motor control optimization of compliant one-legged locomotion in rough terrain
— While underactuated robotic systems are capable of energy efficient and rapid dynamic behavior, we still do not fully understand how body dynamics can be actively used for ada...
Fumiya Iida, Russ Tedrake
NETCOOP
2007
Springer
14 years 1 months ago
Load Shared Sequential Routing in MPLS Networks: System and User Optimal Solutions
Recently Gerald Ash has shown through case studies that event dependent routing is attractive in large scale multi-service MPLS networks. In this paper, we consider the application...
Gilles Brunet, Fariba Heidari, Lorne Mason
NIPS
2001
13 years 9 months ago
The Emergence of Multiple Movement Units in the Presence of Noise and Feedback Delay
Tangential hand velocity profiles of rapid human arm movements often appear as sequences of several bell-shaped acceleration-deceleration phases called submovements or movement un...
Michael Kositsky, Andrew G. Barto