Continually adding self-invented problems to the repertoire: First experiments with POWERPLAY
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Jürgen Schmidhuber | Marijn F. Stollenga | Bas R. Steunebrink | Rupesh Kumar Srivastava | J. Schmidhuber | R. Srivastava
[1] Jürgen Schmidhuber,et al. Curious model-building control systems , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.
[2] Pierre-Yves Oudeyer,et al. Intrinsically Motivated Learning of Real-World Sensorimotor Skills with Developmental Constraints , 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.
[3] K. Gödel. Über formal unentscheidbare Sätze der Principia Mathematica und verwandter Systeme I , 1931 .
[4] Jürgen Schmidhuber,et al. Optimal Ordered Problem Solver , 2002, Machine Learning.
[5] Jürgen Schmidhuber,et al. Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990–2010) , 2010, IEEE Transactions on Autonomous Mental Development.
[6] Jürgen Schmidhuber,et al. Exploring the predictable , 2003 .
[7] A. Kolmogorov. Three approaches to the quantitative definition of information , 1968 .
[8] S. Hochreiter,et al. REINFORCEMENT DRIVEN INFORMATION ACQUISITION IN NONDETERMINISTIC ENVIRONMENTS , 1995 .
[9] Ray J. Solomonoff,et al. A Formal Theory of Inductive Inference. Part II , 1964, Inf. Control..
[10] T. Martin McGinnity,et al. Novelty Detection as an Intrinsic Motivation for Cumulative Learning Robots , 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.
[11] J. Piaget. The child's construction of reality , 1954 .
[12] A. Turing. On Computable Numbers, with an Application to the Entscheidungsproblem. , 1937 .
[13] Andrew G. Barto,et al. Intrinsic Motivation and Reinforcement Learning , 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.
[14] Gregory J. Chaitin,et al. A recent technical report , 1974, SIGA.
[15] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[16] Peter Dayan,et al. Exploration from Generalization Mediated by Multiple Controllers , 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.
[17] Jürgen Schmidhuber,et al. Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement , 1997, Machine Learning.
[18] Jürgen Schmidhuber,et al. A Local Learning Algorithm for Dynamic Feedforward and Recurrent Networks , 1989 .
[19] Jürgen Schmidhuber,et al. Self-Delimiting Neural Networks , 2012, ArXiv.
[20] Jürgen Schmidhuber,et al. Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts , 2006, Connect. Sci..
[21] Jürgen Schmidhuber,et al. Bias-Optimal Incremental Problem Solving , 2002, NIPS.
[22] Jürgen Schmidhuber,et al. PowerPlay: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem , 2011, Front. Psychol..
[23] Jürgen Schmidhuber,et al. Artificial curiosity based on discovering novel algorithmic predictability through coevolution , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[24] Ray J. Solomonoff,et al. A Formal Theory of Inductive Inference. Part I , 1964, Inf. Control..
[25] Ring Mark,et al. Compression Progress-Based Curiosity Drive for Developmental Learning , 2011 .
[26] Jürgen Schmidhuber,et al. Dynamische neuronale Netze und das fundamentale raumzeitliche Lernproblem , 1990 .