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NIPS
2007
15 years 8 months ago
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations
In transfer learning we aim to solve new problems using fewer examples using information gained from solving related problems. Transfer learning has been successful in practice, a...
M. M. Mahmud, Sylvian R. Ray
AAAI
2006
15 years 8 months ago
Temporal Preference Optimization as Weighted Constraint Satisfaction
We present a new efficient algorithm for obtaining utilitarian optimal solutions to Disjunctive Temporal Problems with Preferences (DTPPs). The previous state-of-the-art system ac...
Michael D. Moffitt, Martha E. Pollack
AIPS
2006
15 years 8 months ago
Lemma Reusing for SAT based Planning and Scheduling
In this paper, we propose a new approach, called lemma-reusing, for accelerating SAT based planning and scheduling. Generally, SAT based approaches generate a sequence of SAT prob...
Hidetomo Nabeshima, Takehide Soh, Katsumi Inoue, K...
AIPS
2006
15 years 8 months ago
Reusing and Building a Policy Library
Policy Reuse is a method to improve reinforcement learning with the ability to solve multiple tasks by building upon past problem solving experience, as accumulated in a Policy Li...
Fernando Fernández, Manuela M. Veloso
AIPS
2006
15 years 8 months ago
Evaluating Mixed-Initiative Systems: An Experimental Approach
Mixed-Initiative approaches to Planning and Scheduling are being applied in different real world domains. While several recent successful examples of such tools encourage a wider ...
Gabriella Cortellessa, Amedeo Cesta