1. Klaus P. Jantke, Takeshi Shinohara, and Thomas Zeugmann, (Eds.),
   Algorithmic Learning Theory, 6th International Workshop, ALT'95, Fukuoka, Japan, October 1995, Proceedings,
   Lecture Notes in Artificial Intelligence 997, Springer-Verlag 1995.
2. Thomas Zeugmann, (Guest Editor),
   Algorithmic Learning Theory, 6th International Workshop, ALT'95, Fukuoka, Japan, October 1995, Special Issue in Theoretical Computer Science Vol. 185, No. 1, October 10, 1997.
3. Steffen Lange and Thomas Zeugmann, (Eds.),
   Workshop on Applied Learning Theory, Proccedings,
   University of Kaiserslautern, October 7, 1998, DOI Technical Report DOI-TR 154, Department of Informatics, Kyushu University, October 1998.
4. Michael M. Richter, Carl H. Smith, Rolf Wiehagen, and Thomas Zeugmann, (Eds.),
   Algorithmic Learning Theory, 9th International Conference, ALT'98, Otzenhausen, Germany, October 1998, Proceedings,
   Lecture Notes in Artificial Intelligence 1501, Springer-Verlag 1998.
5. Rolf Wiehagen and Thomas Zeugmann, (Guest Editors),
   Algorithmic Learning Theory, Otzenhausen, Germany, 8 - 10 October 1998, Special Issue in Theoretical Computer Science Vol. 286, No 2, October 17, 2001.
6. Naoki Abe, Roni Khardon, and Thomas Zeugmann, (Eds.),
   Algorithmic Learning Theory, 12th International Conference, ALT 2001, Washington, DC, USA, November 2001, Proceedings,
   Lecture Notes in Artificial Intelligence 2225, Springer-Verlag 2001.
7. Takeshi Shinohara, Carl H. Smith, and Thomas Zeugmann, (Guest Editors),
   Selected Papers in honour of Setsuo Arikawa, Special Issue in Theoretical Computer Science Vol. 298, Issue 1, April 4, 2003.
8. Nicolò Cesa-Bianchi, Rüdiger Reischuk and Thomas Zeugmann, (Guest Editors), Algorithmic Learning Theory, Lübeck, November 2002, Special Issue in Theoretical Computer Science, Vol. 350, Issue 1, January 18, 2006.
9. Shai Ben-David, John Case, and Thomas Zeugmann, (Guest Editors), Algorithmic Learning Theory, Padova, October 2004, Special Issue in Theoretical Computer Science, Vol. 382, Issue 3, September 6, 2007.
10. John Case, Takeshi Shinohara, Thomas Zeugmann, and Sandra Zilles, (Guest Editors), Forty Years of Inductive Inference: Dedicated to the 60th Birthday of Rolf Wiehagen, Special Issue in Theoretical Computer Science, Vol. 397, Issue 1-3, May 20, 2008.
11. Yoav Freund, László Győrfi, Győrgy Turán, and Thomas Zeugmann, (Eds.),
    Algorithmic Learning Theory, 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008, Proceedings,
    Lecture Notes in Artificial Intelligence 5254, Springer 2008.
12. Ricard Gavaldà, Gábor Lugosi, Thomas Zeugmann, and Sandra Zilles, (Eds.),
    Algorithmic Learning Theory, 20th International Conference, ALT 2009, Porto, Portugal, October 2009, Proceedings,
    Lecture Notes in Artificial Intelligence 5809, Springer 2009.
13. Osamu Watanabe and Thomas Zeugmann, (Eds.),
    Stochastic Algorithms: Foundations and Applications, 5th International Symposium, SAGA 2009, Sapporo, Japan, October 26-28, 2009. Proceedings,
    Lecture Notes in Computer Science 5792, Springer 2009.
14. László Győrfi, Győrgy Turán, and Thomas Zeugmann, (Guest Editors), Algorithmic Learning Theory (ALT 2008), Special Issue in Theoretical Computer Science, Vol. 411, Issues 29-30, June 17, 2010.
15. Marcus Hutter, Frank Stephan, Vladimir Vovk, and Thomas Zeugmann, (Eds.), Algorithmic Learning Theory, 21st International Conference, ALT 2010, Canberra, Australia, October 6 - 8, 2010, Proceedings,
    Lecture Notes in Artificial Intelligence 6331, Springer 2010.
16. Jyrki Kivinen, Csaba Szepesvári, Esko Ukkonen, and Thomas Zeugmann, (Eds.), Algorithmic Learning Theory, 22nd International Conference, ALT 2014, Espoo, Finland, October 5-7, 2011, Proceedings,
    Lecture Notes in Artificial Intelligence 6925, Springer 2011.
17. Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, and Thomas Zeugmann, (Eds.), Algorithmic Learning Theory, 23rd International Conference, ALT 2014, Lyon, France, October 29-31, 2012, Proceedings,
    Lecture Notes in Artificial Intelligence 7568, Springer 2012.
    
18. Marcus Hutter, Frank Stephan, Vladimir Vovk, and Thomas Zeugmann, (Guest Editors), Algorithmic Learning Theory, Special Issue in Theoretical Computer Science, Vol. 473, February 18, 2013.
    
19. Sanjay Jain, Rémi Munos, Frank Stephan, and Thomas Zeugmann, (Eds.), Algorithmic Learning Theory, 24th International Conference, ALT 2014, Singapore, October 6-9, 2013, Proceedings,
    Lecture Notes in Artificial Intelligence 8139, Springer 2013.
    
20. Jyrki Kivinen, Csaba Szepesvári, and Thomas Zeugmann, (Guest Editors), Algorithmic Learning Theory, Special Issue in Theoretical Computer Science, Vol. 519, January 30, 2014.
    
21. Peter Auer, Alexander Clark, Thomas Zeugmann, and Sandra Zilles, (Eds.), Algorithmic Learning Theory, 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings,
    Lecture Notes in Artificial Intelligence 8776, Springer 2014.
    
22. Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, and Thomas Zeugmann, (Guest Editors), Algorithmic Learning Theory, Special Issue in Theoretical Computer Science, Vol. 558, November 13, 2014.
    
23. Sanjay Jain, Rémi Munos, Frank Stephan, and Thomas Zeugmann, (Guest Editors), Algorithmic Learning Theory, Special Issue in Theoretical Computer Science, Vol. 620, March 21, 2016.
    
24. Peter Auer, Alexander Clark, and Thomas Zeugmann, (Guest Editors), Algorithmic Learning Theory, Special Issue in Theoretical Computer Science, Vol. 650, October 18, 2016.
    
25. Thomas Zeugmann, (Guest Editor), Learning Theory and Complexity, Special Issue in Theoretical Computer Science, Vol. 733, July 15, 2018.

Last update November 18, 2018.