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46 publications from Schmidhuber, J.
2013
- "Evolving large-scale neural networks for vision-based reinforcement learning"
, GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference (Conference paper)
- "A linear time natural evolution strategy for non-separable functions"
by Sun, Y., Schaul, T., Gomez, F. and Schmidhuber, J., GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion (Conference paper)
- "Humanoid Learns to Detect Its Own Hands"
by Leitner, J., Harding, S., Frank, M., Forster, A. and Schmidhuber, J., 2013 IEEE Conference on Evolutionary Computation (Conference paper)
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2012
- "MT-CGP: mixed type cartesian genetic programming"
by Harding, S., Graziano, V., Leitne, J. and Schmidhuber, J., GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference (Conference paper)
- "Generalized compressed network search"
by Srivastava, R., K., Schmidhuber, J. and Gomez, F., GECCO 2012 Late breaking abstracts workshop (Conference paper)
- "Complexity search for compressed neural networks"
, GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion (Conference paper)
- "Autonomous learning of robust visual object detection and identification on a humanoid"
by Leitner, J., Chandrashekhariah, P., Harding, S., Frank, M., Spina, G., Forster, A., Triesch, J. and Schmidhuber, J., IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL 2012) (Conference paper)
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2011
- "High dimensions and heavy tails for natural evolution strategies"
by Schaul, T., Glasmachers, T. and Schmidhuber, J., GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation (Conference paper)
- "Curiosity-Driven Optimization"
by Schaul, T., Sun, Y., Wierstra, D., Gomez, F. and Schmidhuber, J., Proceedings of the 2011 IEEE Congress on Evolutionary Computation (Conference paper)
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2010
- "Exponential natural evolution strategies"
by Glasmachers, T., Schaul, T., Yi, S., Wierstra, D. and Schmidhuber, J., GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation (Conference paper)
- "Evolving neural networks in compressed weight space"
by Koutnik, J., Gomez, F. and Schmidhuber, J., GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation (Conference paper)
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2009
2008
- "Learning What to Ignore: Memetic Climbing in Topology and Weight Space"
by Togelius, J., Gomez, F. and Schmidhuber, J., 2008 IEEE World Congress on Computational Intelligence (Conference paper)
- "Generating Diverse Opponents with Multiobjective Evolution"
by Agapitos, A., Togelius, J., Lucas, S., M., Schmidhuber, J. and Konstantinidis, A., Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games (Conference paper)
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2005
- "Co-evolving recurrent neurons learn deep memory POMDPs"
by Gomez, F., J. and Schmidhuber, J., GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation (Conference paper)
- "Modeling systems with internal state using evolino"
by Wierstra, D., Gomez, F., J. and Schmidhuber, J., GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation (Conference paper)
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2004
2002
2000
1999
- "Artificial Curiosity Based on Discovering Novel Algorithmic Predictability Through Coevolution"
by Schmidhuber, J., Proceedings of the Congress of Evolutionary Computation (Conference paper)
- "Sequence Learning Through PIPE and Automatic Task Decomposition"
by Salustowicz, R., P. and Schmidhuber, J., Proceedings of the Genetic and Evolutionary Computation Conference (Conference paper)
- "Artificial Curiosity based on Discovering novel algorithmic predictability"
by Schmidhuber, J., 1999 Congress on Evolutionary Computation (Conference paper)
- "Direct policy search and uncertain policy evaluation"
by Schmidhuber, J. and Zhao, J., AAAI Spring Symposium on Search under Uncertain and Incomplete Information (Conference paper)
- "From Probabilities to Programs with Probabilistic Incremental Program Evolution"
by Salustowicz, R. and Schmidhuber, J., New Ideas in Optimization (In collection)
- "A general method for incremental self-improvement and multiagent learning"
by Schmidhuber, J., Evolutionary Computation: Theory and Applications (In collection)
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1998
- "Learning Team Strategies: Soccer Case Studies"
by Salustowicz, R., P., Salustowicz, R., P., Wiering, M., A., and Schmidhuber, J., Machine Learning (Journal paper)
- "Evolving Structured Programs with Hierarchical Instructions and Skip Nodes"
by Shavlik, J., Proceedings of the Fifteenth International Conference on Machine Learning, ICML'98 (Conference paper)
- "H-PIPE: Facilitating Hierarchical Program Evolution Through Skip Nodes"
by Salustowicz, R. and Schmidhuber, J. (Tech report)
- "Learning to predict through Probabilistic Incremental Program Evolution and automatic task decomposition"
by Salustowicz, R. and Schmidhuber, J. (Tech report)
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1997
- "Probabilistic Incremental Program Evolution"
by Salustowicz, R., P. and Schmidhuber, J., Evolutionary Computation (Journal paper)
- "Probabilistic Incremental Program Evolution"
by Salustowicz, R. and Schmidhuber, J., Evolutionary Computation (Journal paper)
- "Shifting inductive bias with success-story algorithm, adaptive Levin search, and incremental self-improvement"
by Schmidhuber, J., Zhao, J. and Wiering, M., Machine Learning (Journal paper)
- "Evolving Soccer Strategies"
by Salustowicz, R., P., Salustowicz, R., P., Wiering, M., A., and Schmidhuber, J., Progress in Connectionist-based Information Systems: Proceedings of the Fourth International Conference on Neural Information Processing ICONIP'97 (Conference paper)
- "On Learning Soccer Strategies"
by Salustowicz, R., P., Salustowicz, R., P., Wiering, M., A., and Schmidhuber, J., Proceedings of the Seventh International Conference on Artificial Neural Networks (ICANN'97) (Conference paper)
- "Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space"
by Salustowicz, R., P. and Schmidhuber, J., Machine Learning: ECML-97 (Conference paper)
- "Reinforcement learning with self-modifying policies"
by Schmidhuber, J., Zhao, J. and Schraudolph, N., N., Learning to learn (In collection)
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1996
- "Incremental Self-Improvement for Life-Time Multi-Agent Reinforcement Learning"
by Zhao, J. and Schmidhuber, J., Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior: From animals to animats 4 (Conference paper)
- "Solving POMDPs with Levin search and EIRA"
by Wiering, M. and Schmidhuber, J., Machine Learning: Procceedings of 13th International Conference (Conference paper)
- "Simple Principles of Metalearning"
by Schmidhuber, J., Zhao, J., and Wiering, M. (Tech report)
- "A General Method for Incremental Self-Improvement and Multi-agent Learning in Unrestricted Environments"
by Schmidhuber, J., Evolutionary Computation: Theory and Applications (In collection)
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1986
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