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KR
1998
Springer
15 years 10 months ago
What Robots Can Do
In this paper, we propose a definition of goal achievability: given a basic action theory describing an initial state of the world and some primitive actions available to a robot,...
Hector J. Levesque
ECML
2003
Springer
15 years 11 months ago
A New Way to Introduce Knowledge into Reinforcement Learning
We present in this paper a method to introduce a priori knowledge into reinforcement learning using temporally extended actions. The aim of our work is to reduce the learning time ...
Pascal Garcia
ICCV
2009
IEEE
16 years 11 months 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
ICTAI
2008
IEEE
16 years 12 days ago
The System BioC for Reasoning about Biological Models in Action Language C
We elaborate upon the usage of action language C for representing and reasoning about biological models. First, we provide a simple extension of C allowing for variables and show ...
Steve Dworschak, Torsten Grote, Arne König, T...
AIEDU
2004
95views more  AIEDU 2004»
15 years 5 months ago
Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach
We propose and evaluate a decision-theoretic approach for selecting tutorial actions by looking ahead to anticipate their effects on the student and other aspects of the tutorial s...
R. Charles Murray, Kurt VanLehn, Jack Mostow