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Bias-Optimal Incremental Learning of Control Sequences for Virtual Robots

, , and . Procceedings of the eigth conference on Intelligent Autonomous Systems, IAS-8, page 658--665. Amsterdam, (2004)

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Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements. (December 2004)Solving Deep Memory POMDPs with Recurrent Policy Gradients., , , and . ICANN (1), volume 4668 of Lecture Notes in Computer Science, page 697-706. Springer, (2007)Incremental Self-Improvement for Life-Time Multi-Agent Reinforcement Learning, and . Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior: From animals to animats 4, page 516--525. Cape Code, USA, MIT Press, (9-13 September 1996)Solving Deep Memory POMDPs with Recurrent Policy Gradients., , , and . ICANN (1), volume 4668 of Lecture Notes in Computer Science, page 697-706. Springer, (2007)Multi-dimensional Recurrent Neural Networks, , and . Proc. International Conf. on Artificial Neural Networks (ICANN-2007), 4668, page 865--873. Springer, Berlin, (2007)Recurrent Policy Gradients, , , and . Journal of Algorithms, (in press)A possibility for implementing curiosity and boredom in model-building neural controllers. Proceedings of the International Conference on Simulation of Adaptive Behavior, page 222-227. MIT Press/Bradford Books, (1991)A General Method for Incremental Self-Improvement and Multi-agent Learning in Unrestricted Environments. Evolutionary Computation: Theory and Applications, Scientific Publishing Company, (1996)Modeling Non-Linear Dynamical Systems with Evolino, , and . Proceedings of the Genetic Evolutionary Computation Conference (GECCO-05), Berlin; New York, Springer-Verlag, (2005)Co-Evolving Recurrent Neurons Learn Deep Memory POMDPs, and . 17--04. IDSIA, Lugano, Switzerland, (December 2004)