Genetic Programming Bibliography entries for Jurgen Schmidhuber

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.7831

GP coauthors/coeditors: Alexandros Agapitos, Julian Togelius, Simon M Lucas, Andreas Constantinides, Simon Harding, Juergen Leitner, Vincent Graziano, Jan Koutnik, Andrew Adamatzky, Alexander Forster, Pramod Chandrashekhariah, Mikhail Frank, Gabriele Spina, Jochen Triesch, A Foerster, Rafal Salustowicz, D Dickmanns, A Winklhofer, Jieyu Zhao, Marco Wiering, Nicol N Schraudolph, Viktor P Zhumatiy, Matteo Gagliolo,

Genetic Programming Articles by Jurgen Schmidhuber

  1. Juergen Leitner and Simon Harding and Pramod Chandrashekhariah and Mikhail Frank and Alexander Foerster and Jochen Triesch and Juergen Schmidhuber. Learning visual object detection and localisation using icVision. Biologically Inspired Cognitive Architectures, 5:29-41, 2013. Extended versions of selected papers from the Third Annual Meeting of the BICA Society (BICA 2012). details

  2. Juergen Leitner and Simon Harding and Mikhail Frank and Alexander Forster and Jurgen Schmidhuber. Learning Spatial Object Localization from Vision on a Humanoid Robot. International Journal of Advanced Robotic Systems, 9 2012. details

  3. Juergen Schmidhuber and Jieyu Zhao and Marco Wiering. Shifting inductive bias with success-story algorithm, adaptive Levin search, and incremental self-improvement. Machine Learning, 28:105-130, 1997. details

  4. R. P. Salustowicz and J. Schmidhuber. Probabilistic Incremental Program Evolution. Evolutionary Computation, 5(2):123-141, 1997. details

Genetic Programming conference papers by Jurgen Schmidhuber

  1. J. Leitner and A. Foerster and J. Schmidhuber. Improving robot vision models for object detection through interaction. In International Joint Conference on Neural Networks (IJCNN 2014), pages 3355-3362, 2014. details

  2. Jurgen Leitner and Simon Harding and Mikhail Frank and Alexander Forster and Jurgen Schmidhuber. Humanoid Learns to Detect Its Own Hands. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 1411-1418, Cancun, Mexico, 2013. details

  3. Juergen Leitner and Simon Harding and Mikhail Frank and Alexander Foerster and Juergen Schmidhuber. Towards Spatial Perception: Learning to Locate Objects From Vision. In Joanna Szufnarowska editor, Proceedings of the Post-Graduate Conference on Robotics and Development of Cognition, pages 20-23, Lausanne, Switzerland, 2012. details

  4. J. Leitner and S. Harding and A. Forster and J. Schmidhuber. Mars Terrain Image Classification using Cartesian Genetic Programming. In 11th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), Turin, Italy, 2012. details

  5. Juergen Leitner and Pramod Chandrashekhariah and Simon Harding and Mikhail Frank and Gabriele Spina and Alexander Forster and Jochen Triesch and Juergen Schmidhuber. Autonomous learning of robust visual object detection and identification on a humanoid. In IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL 2012), 2012. details

  6. Simon Harding and Vincent Graziano and Juergen Leitner and Juergen Schmidhuber. MT-CGP: mixed type cartesian genetic programming. In Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 751-758, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  7. Alexandros Agapitos and Julian Togelius and Simon M. Lucas and Jurgen Schmidhuber and Andreas Konstantinidis. Generating Diverse Opponents with Multiobjective Evolution. In Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, pages 135-142, Perth, Australia, 2008. IEEE. details

  8. Juergen Schmidhuber and Viktor P Zhumatiy and Matteo Gagliolo. Bias-Optimal Incremental Learning of Control Sequences for Virtual Robots. In Procceedings of the eigth conference on Intelligent Autonomous Systems, IAS-8, pages 658-665, Amsterdam, 2004. details

  9. Rafal P. Salustowicz and Jurgen Schmidhuber. Sequence Learning Through PIPE and Automatic Task Decomposition. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1184-1191, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  10. Juergen Schmidhuber and Jieyu Zhao. Direct policy search and uncertain policy evaluation. In AAAI Spring Symposium on Search under Uncertain and Incomplete Information, pages 119-124, Stanford Univ., 1999. details

  11. Rafal Salustowicz and Juergen Schmidhuber. Evolving Structured Programs with Hierarchical Instructions and Skip Nodes. In Jude Shavlik editor, Proceedings of the Fifteenth International Conference on Machine Learning, ICML'98, pages 488-496, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

  12. Rafal P. Salustowicz and Juergen Schmidhuber. Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space. In Maarten van Someren and Gerhard Widmer editors, Machine Learning: ECML-97, volume 1224, pages 213-220, Prague, Czech Republic, 1997. Springer-Verlag. details

  13. Marco Wiering and Juergen Schmidhuber. Solving POMDPs with Levin search and EIRA. In Lorenza Saitta editor, Machine Learning: Procceedings of 13th International Conference, pages 534-542, Bari, Italy, 1996. Morgan Kaufmann Publishers. details

  14. Juergen Schmidhuber and Jieyu Zhao. Multi-Agent Learning with the Success-Story Algorithm. In Gerhard Wei\ss editor, ECAI Workshop LDAIS / ICMAS Workshop LIOME, volume 1221, pages 82-93, Budapest, Hungary, 1996. Springer. details

  15. Jurgen Schmidhuber. Beyond ``Genetic Programming'': Incremental Self-Improvement. In Justinian P. Rosca editor, Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, pages 42-49, Tahoe City, California, USA, 1995. details

Genetic Programming book chapters by Jurgen Schmidhuber

  1. Simon Harding and Jan Koutnik and Juergen Schmidhuber and Andrew Adamatzky. Discovering Boolean Gates in Slime Mould. In Susan Stepney and Andrew Adamatzky editors, Inspired by Nature: Essays Presented to Julian F. Miller on the Occasion of his 60th Birthday, volume 28 of Emergence, Complexity and Computation, chapter 15, pages 323-337. Springer, 2017. details

  2. Simon Harding and Juergen Leitner and Juergen Schmidhuber. Cartesian Genetic Programming for Image Processing. In Rick Riolo and Ekaterina Vladislavleva and Marylyn D. Ritchie and Jason H. Moore editors, Genetic Programming Theory and Practice X, chapter 3, pages 31-44. Springer, Ann Arbor, USA, 2012. details

  3. Juergen Schmidhuber. Exploring the Predictable. In Ashish Ghosh and Shigeyoshi Tsutsui editors, Advances in Evolutionary Computing, pages 579-612. Springer, 2002. details

  4. Juergen Schmidhuber. A General Method for Incremental Self-Improvement and Multi-agent Learning in Unrestricted Environments. In X. Yao editor, Evolutionary Computation: Theory and Applications, chapter 3, pages 81-123. Scientific Publishing Company, Singapore, 1999. details

  5. Rafal Salustowicz and Jurgen Schmidhuber. From Probabilities to Programs with Probabilistic Incremental program Evolution. In David Corne and Marco Dorigo and Fred Glover editors, New Ideas in Optimization, chapter 28, pages 433-450. McGraw-Hill, Maidenhead, Berkshire, England, 1999. details

  6. Juergen Schmidhuber. A general method for incremental self-improvement and multiagent learning. In Xin Yao editor, Evolutionary Computation: Theory and Applications, chapter 3, pages 81-123. Scientific Publ. Co., Singapore, 1999. details

  7. Juergen Schmidhuber and Jieyu Zhao and Nicol N. Schraudolph. Reinforcement learning with self-modifying policies. In S. Thrun and L. Pratt editors, Learning to learn, pages 293-309. Kluwer, 1997. details

Genetic Programming technical reports by Jurgen Schmidhuber

  1. Juergen Schmidhuber. Optimal Ordered Problem Solver. Technical report, IDSIA-12-02, IDSIA, 2002. details

  2. Rafal Salustowicz and Juergen Schmidhuber. H-PIPE: Facilitating Hierarchical Program Evolution Through Skip Nodes. Technical Report , IDSIA-8-98, IDSIA, Switzerland, 1998. details

  3. Rafal Salustowicz and Juergen Schmidhuber. Learning to predict through Probabilistic Incremental Program Evolution and automatic task decomposition. Technical Report , IDSIA-11-98, IDSIA, Switzerland, 1998. details

  4. D. Dickmanns and J. Schmidhuber and A. Winklhofer. Der genetische Algorithmus: Eine Implementierung in Prolog. Fortgeschrittenenpraktikum , Institut f\"ur Informatik, Technische Universit\"at M\"anchen, 1987. details

Genetic Programming MSc thesis Jurgen Schmidhuber

Genetic Programming other entries for Jurgen Schmidhuber