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AAAI
2008
15 years 8 months ago
Potential-based Shaping in Model-based Reinforcement Learning
Potential-based shaping was designed as a way of introducing background knowledge into model-free reinforcement-learning algorithms. By identifying states that are likely to have ...
John Asmuth, Michael L. Littman, Robert Zinkov
CAV
2008
Springer
115views Hardware» more  CAV 2008»
15 years 8 months ago
An Algebraic Approach for Proving Data Correctness in Arithmetic Data Paths
This paper proposes a new approach for proving arithmetic correctness of data paths in System-on-Chip modules. It complements existing techniques which are, for reasons of complexi...
Oliver Wienand, Markus Wedler, Dominik Stoffel, Wo...
COLING
1990
15 years 7 months ago
Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
Jean Véronis, Nancy Ide
IJVR
2008
127views more  IJVR 2008»
15 years 6 months ago
Embodied Tutors for Interaction Skills Simulation Training
This paper describes intelligent virtual tutors for interaction skills training who can serve the roles of demonstrator, coach, trainer, mentor, and observer. These roles meet the ...
Robert Hubal
SIGMOD
2011
ACM
249views Database» more  SIGMOD 2011»
14 years 9 months ago
ProApproX: a lightweight approximation query processor over probabilistic trees
We demonstrate a system for querying probabilistic XML documents with simple XPath queries. A user chooses between a variety of query answering techniques, both exact and approxim...
Pierre Senellart, Asma Souihli