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ACL
2010
13 years 5 months ago
Reading between the Lines: Learning to Map High-Level Instructions to Commands
In this paper, we address the task of mapping high-level instructions to sequences of commands in an external environment. Processing these instructions is challenging--they posit...
S. R. K. Branavan, Luke S. Zettlemoyer, Regina Bar...
ML
2002
ACM
100views Machine Learning» more  ML 2002»
13 years 7 months ago
Structure in the Space of Value Functions
Solving in an efficient manner many different optimal control tasks within the same underlying environment requires decomposing the environment into its computationally elemental ...
David J. Foster, Peter Dayan
ICCV
2009
IEEE
15 years 20 days ago
Recognizing Actions by Shape-Motion Prototype Trees
A prototype-based approach is introduced for action recognition. The approach represents an action as a se- quence of prototypes for efficient and flexible action match- ing in ...
Zhe Lin, Zhuolin Jiang, Larry S. Davis
FLAIRS
2009
13 years 5 months ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Matthew Molineaux, David W. Aha, Gita Sukthankar
ESANN
2007
13 years 9 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...