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ICML
2009
IEEE
15 years 11 months ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint
ICML
2008
IEEE
15 years 11 months ago
Automatic discovery and transfer of MAXQ hierarchies
We present an algorithm, HI-MAT (Hierarchy Induction via Models And Trajectories), that discovers MAXQ task hierarchies by applying dynamic Bayesian network models to a successful...
Neville Mehta, Soumya Ray, Prasad Tadepalli, Thoma...
AIED
2007
Springer
15 years 4 months ago
Empowering researchers to detect interaction patterns in e-collaboration
This paper describes an approach to support practitioners in the analysis of computer-supported learning processes by utilizing logfiles of learners’ actions captured by the sys...
Andreas Harrer, Rakheli Hever, Sabrina Ziebarth
ICML
1990
IEEE
15 years 2 months ago
Explanations of Empirically Derived Reactive Plans
Given an adequate simulation model of the task environment and payoff function that measures the quality of partially successful plans, competition-based heuristics such as geneti...
Diana F. Gordon, John J. Grefenstette
76
Voted
ECTEL
2008
Springer
14 years 12 months ago
Self-Explaining Agents in Virtual Training
Abstract. Virtual training systems are increasingly used for the training of complex, dynamic tasks. To give trainees the opportunity to train autonomously, intelligent agents are ...
Maaike Harbers