Learning Evaluation Functions to Improve Optimization by Local Search (2000)

Cached

Download Links

by Justin Boyan , Andrew W. Moore , Pack Kaelbling
Venue:Journal of Machine Learning Research
Citations:49 - 0 self

Documents Related by Co-Citation

102 A Reinforcement Learning Approach to Job-shop Scheduling – Wei Zhang, Thomas G. Dietterich - 1995
39 Learning as search optimization: Approximate large margin methods for structured prediction – Hal Daumé Iii, Daniel Marcu - 2005
25 Adaptive Constraint Satisfaction: The Quickest First Principle – James Borrett, Edward P. K. Tsang, Natasha R. Walsh - 1996
2802 Optimization by simulated annealing – S. Kirkpatrick, C. D. Gelatt, M. P. Vecchi - 1983
516 No Free Lunch Theorems for Optimization – David H. Wolpert, et al. - 1997
784 Learning logical definitions from relations – J. R. Quinlan - 1990
962 Learning Stochastic Logic Programs – Stephen Muggleton - 2000
1135 Learning from delayed rewards – J C Watkins - 1989
2960 Artificial Intelligence: A Modern Approach. 2nd edn – S Russell, P Norvig - 2003
2 From simple features to sophiscated evaluation functions – Michael Buro - 1998
6 Learning measures of progress for planning domains – Sungwook Yoon - 2005
148 Planning as Heuristic Search: New Results – Blai Bonet, Héctor Geffner - 1999
57 Planning Graph as the Basis for Deriving Heuristics for Plan Synthesis by State Space and CSP Search – Xuanlong Nguyen, Subbarao Kambhampati, Romeo S. Nigenda - 2000
463 The FF planning system: Fast plan generation through heuristic search – Jörg Hoffmann, Bernhard Nebel - 2001
3 The application of ILP to finite element mesh design – B Dolsak, S Muggleton - 1991
9 Satisfiability of the Smallest Binary Program – Philipp Hanschke, Jörg Würtz - 1993
15 Implication of clauses is undecidable – M Schmidt-Schauss - 1988
23 Lattice-Search Runtime Distributions May Be Heavy-Tailed – Filip Zelezny, Ashwin Srinivasan, David Page - 2002
23 A study of two sampling methods for analysing large datasets with ILP – Ashwin Srinivasan - 1999