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» Learning Partially Observable Deterministic Action Models
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NIPS
1996
13 years 9 months ago
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
Brendan J. Frey
FORMATS
2010
Springer
13 years 5 months ago
Diagnosis Using Unfoldings of Parametric Time Petri Nets
This paper considers the model of Time Petri Nets (TPNs) extended with time parameters and its use to perform on-line diagnosis of distributed systems. We propose to base the metho...
Bartosz Grabiec, Louis-Marie Traonouez, Claude Jar...
ICRA
2007
IEEE
148views Robotics» more  ICRA 2007»
14 years 1 months ago
Seamless Execution of Action Sequences
— One of the most notable and recognizable features of robot motion is the abrupt transitions between actions in action sequences. In contrast, humans and animals perform sequenc...
Freek Stulp, Wolfram Koska, Alexis Maldonado, Mich...
ECAI
2004
Springer
14 years 1 months ago
Indirect and Conditional Sensing in the Event Calculus
Controlling the sensing of an environment by an agent has been accepted as necessary for effective operation within most practical domains. Usually, however, agents operate in par...
Jeremy Forth, Murray Shanahan
AIED
2011
Springer
12 years 11 months ago
Faster Teaching by POMDP Planning
Both human and automated tutors must infer what a student knows and plan future actions to maximize learning. Though substantial research has been done on tracking and modeling stu...
Anna N. Rafferty, Emma Brunskill, Thomas L. Griffi...