Pier Luca Lanzi (Selection)

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118 Daniele Loiacono, Pier Luca Lanzi, Julian Togelius, Enrique Onieva, David A. Pelta, Martin V. Butz, Thies D. Lönneker, Luigi Cardamone, Diego Perez, Yago Sáez, Mike Preuss, Jan Quadflieg: The 2009 Simulated Car Racing Championship. IEEE Trans. Comput. Intellig. and AI in Games 2(2): 131-147 (2010)

99 Martin V. Butz, Pier Luca Lanzi: Sequential problems that test generalization in learning classifier systems. Evolutionary Intelligence 2(3): 141-147 (2009)

94 Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono: An analysis of matching in learning classifier systems. GECCO 2008: 1349-1356

93 Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi: Self-adaptive mutation in XCSF. GECCO 2008: 1365-1372

83 Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson: Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Trans. Evolutionary Computation 12(3): 355-376 (2008)

79 Pier Luca Lanzi, Martin V. Butz, David E. Goldberg: Empirical analysis of generalization and learning in XCS with gradient descent. GECCO 2007: 1814-1821

64 Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry: Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genetic Programming and Evolvable Machines 8(1): 5-37 (2007)

62 Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson: Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. GECCO 2006: 1457-1464

49 Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Effect of Pure Error-Based Fitness in XCS. IWLCS 2005: 104-114

47 Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. IEEE Trans. Evolutionary Computation 9(5): 452-473 (2005)

41 Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Bounding Learning Time in XCS. GECCO (2) 2004: 739-750

40 Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. GECCO (2) 2004: 751-762

37 Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg: Knowledge Extraction and Problem Structure Identification in XCS. PPSN 2004: 1051-1060

33 Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson: Toward a theory of generalization and learning in XCS. IEEE Trans. Evolutionary Computation 8(1): 28-46 (2004)

Selection of 14 from 140 records - Pier Luca Lanzi has 137 coauthors

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118		Daniele Loiacono, Pier Luca Lanzi, Julian Togelius, Enrique Onieva, David A. Pelta, Martin V. Butz, Thies D. Lönneker, Luigi Cardamone, Diego Perez, Yago Sáez, Mike Preuss, Jan Quadflieg: The 2009 Simulated Car Racing Championship. IEEE Trans. Comput. Intellig. and AI in Games 2(2): 131-147 (2010)
99		Martin V. Butz, Pier Luca Lanzi: Sequential problems that test generalization in learning classifier systems. Evolutionary Intelligence 2(3): 141-147 (2009)
94		Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono: An analysis of matching in learning classifier systems. GECCO 2008: 1349-1356
93		Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi: Self-adaptive mutation in XCSF. GECCO 2008: 1365-1372
83		Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson: Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Trans. Evolutionary Computation 12(3): 355-376 (2008)
79		Pier Luca Lanzi, Martin V. Butz, David E. Goldberg: Empirical analysis of generalization and learning in XCS with gradient descent. GECCO 2007: 1814-1821
64		Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry: Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genetic Programming and Evolvable Machines 8(1): 5-37 (2007)
62		Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson: Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. GECCO 2006: 1457-1464
49		Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Effect of Pure Error-Based Fitness in XCS. IWLCS 2005: 104-114
47		Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. IEEE Trans. Evolutionary Computation 9(5): 452-473 (2005)
41		Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Bounding Learning Time in XCS. GECCO (2) 2004: 739-750
40		Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. GECCO (2) 2004: 751-762
37		Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg: Knowledge Extraction and Problem Structure Identification in XCS. PPSN 2004: 1051-1060
33		Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson: Toward a theory of generalization and learning in XCS. IEEE Trans. Evolutionary Computation 8(1): 28-46 (2004)