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TSMC
2010
13 years 4 months ago
Active Learning of Plans for Safety and Reachability Goals With Partial Observability
Traditional planning assumes reachability goals and/or full observability. In this paper, we propose a novel solution for safety and reachability planning with partial observabilit...
Wonhong Nam, Rajeev Alur
AIED
2007
Springer
14 years 4 months ago
Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation
SimStudent is a machine-learning agent that learns cognitive skills by demonstration. SimStudent was originally built as a building block for Cognitive Tutor Authoring Tools to hel...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...
APN
2008
Springer
13 years 12 months ago
MC-SOG: An LTL Model Checker Based on Symbolic Observation Graphs
Model checking is a powerful and widespread technique for the verification of finite distributed systems. However, the main hindrance for wider application of this technique is the...
Kais Klai, Denis Poitrenaud
SYNTHESE
2010
133views more  SYNTHESE 2010»
13 years 4 months ago
Dynamic logics of knowledge and access
A recurring issue in any formal model representing agents' (changing) informational attitudes is how to account for the fact that the agents are limited in their access to the...
Tomohiro Hoshi, Eric Pacuit
JAIR
2008
148views more  JAIR 2008»
13 years 10 months ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang