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Publications of Author

1. Pier Luca Lanzi, Daniele Loiacono
   Standard and averaging reinforcement learning in XCS. [Citation Graph (0, 0)][DBLP]
   GECCO, 2006, pp:1489-1496 [Conf]
   
2. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
   Extending XCSF beyond linear approximation. [Citation Graph (0, 0)][DBLP]
   GECCO, 2005, pp:1827-1834 [Conf]
   
3. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
   XCS with computed prediction in multistep environments. [Citation Graph (0, 0)][DBLP]
   GECCO, 2005, pp:1859-1866 [Conf]
   
4. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
   Classifier prediction based on tile coding. [Citation Graph (0, 0)][DBLP]
   GECCO, 2006, pp:1497-1504 [Conf]
   
5. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
   Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. [Citation Graph (0, 0)][DBLP]
   GECCO, 2006, pp:1505-1512 [Conf]
   
6. Daniele Loiacono, Pier Luca Lanzi
   Improving generalization in the XCSF classifier system using linear least-squares. [Citation Graph (0, 0)][DBLP]
   GECCO Workshops, 2005, pp:374-377 [Conf]
   
7. Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
   Support vector regression for classifier prediction. [Citation Graph (0, 0)][DBLP]
   GECCO, 2007, pp:1806-1813 [Conf]
   
8. Pier Luca Lanzi, Daniele Loiacono
   Classifier systems that compute action mappings. [Citation Graph (0, 0)][DBLP]
   GECCO, 2007, pp:1822-1829 [Conf]
   
9. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
   XCS with computed prediction in continuous multistep environments. [Citation Graph (0, 0)][DBLP]
   Congress on Evolutionary Computation, 2005, pp:2032-2039 [Conf]
   
10. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
    XCS with computed prediction for the learning of Boolean functions. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:588-595 [Conf]
    
11. 
    An analysis of matching in learning classifier systems. [Citation Graph (, )][DBLP]
    
    
12. 
    Recursive least squares and quadratic prediction in continuous multistep problems. [Citation Graph (, )][DBLP]
    
    
13. 
    Evolving competitive car controllers for racing games with neuroevolution. [Citation Graph (, )][DBLP]
    
    
14. 
    A Multi-objective Genetic Algorithm for Design Space Exploration in High-Level Synthesis. [Citation Graph (, )][DBLP]
    
    
15. 
    Analysis and Improvements of the Classifier Error Estimate in XCSF. [Citation Graph (, )][DBLP]
    
    
16. 
    Evolving Classifiers Ensembles with Heterogeneous Predictors. [Citation Graph (, )][DBLP]
    
    
17. 
    Support vector machines for computing action mappings in learning classifier systems. [Citation Graph (, )][DBLP]
    
    
18. 
    High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis. [Citation Graph (, )][DBLP]
    
    
19. 
    Evolving classifier ensembles with voting predictors. [Citation Graph (, )][DBLP]
    
    
20. 
    Computed prediction in binary multistep problems. [Citation Graph (, )][DBLP]
    
    
21. 
    On-line neuroevolution applied to The Open Racing Car Simulator. [Citation Graph (, )][DBLP]
    
    
22. 
    Tile Coding Based on Hyperplane Tiles. [Citation Graph (, )][DBLP]
    
    
23. 
    Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. [Citation Graph (, )][DBLP]