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» Planning with predictive state representations
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UAI
2003
13 years 11 months ago
Symbolic Generalization for On-line Planning
Symbolic representations have been used successfully in off-line planning algorithms for Markov decision processes. We show that they can also improve the performance of online p...
Zhengzhu Feng, Eric A. Hansen, Shlomo Zilberstein
ICRA
2010
IEEE
143views Robotics» more  ICRA 2010»
13 years 7 months ago
On the influence of ship motion prediction accuracy on motion planning and control of robotic manipulators on seaborne platforms
Robotic manipulators on non-inertial platforms, such as ships, have to endure large inertial forces due to the non-inertial motion of the platform. When the non-inertial platform&#...
Pål Johan From, Jan Tommy Gravdahl, Pieter A...
AIPS
2006
13 years 11 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
AIPS
1994
13 years 11 months ago
Toward a Plan Steering Agent: Experiments with Schedule Maintenance
When a plan involves hundreds or thousands of events over time it can be di cult or impossible to tell whether those events are unfolding \according to plan" and to assess th...
Tim Oates, Paul R. Cohen
NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 9 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...