Accelerated Neural Evolution through Cooperatively Coevolved Synapses
暂无分享,去创建一个
Risto Miikkulainen | Jürgen Schmidhuber | Faustino J. Gomez | J. Schmidhuber | R. Miikkulainen | F. Gomez
[1] James S. Albus,et al. I A New Approach to Manipulator Control: The I Cerebellar Model Articulation Controller , 1975 .
[2] James S. Albus,et al. New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)1 , 1975 .
[3] John H. Holland,et al. Cognitive systems based on adaptive algorithms , 1977, SGAR.
[4] John H. Holland,et al. COGNITIVE SYSTEMS BASED ON ADAPTIVE ALGORITHMS1 , 1978 .
[5] Donald A. Waterman,et al. Pattern-Directed Inference Systems , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Charles W. Anderson,et al. Strategy Learning with Multilayer Connectionist Representations , 1987 .
[7] Tariq Samad,et al. Towards the Genetic Synthesisof Neural Networks , 1989, ICGA.
[8] C.W. Anderson,et al. Learning to control an inverted pendulum using neural networks , 1989, IEEE Control Systems Magazine.
[9] Paul J. Werbos,et al. Backpropagation Through Time: What It Does and How to Do It , 1990, Proc. IEEE.
[10] Hiroaki Kitano,et al. Designing Neural Networks Using Genetic Algorithms with Graph Generation System , 1990, Complex Syst..
[11] Richard K. Belew,et al. Evolving networks: using the genetic algorithm with connectionist learning , 1990 .
[12] Phil Husbands,et al. Simulated Co-Evolution as the Mechanism for Emergent Planning and Scheduling , 1991, International Conference on Genetic Algorithms.
[13] A. P. Wieland,et al. Evolving neural network controllers for unstable systems , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.
[14] Jyh-Shing Roger Jang,et al. Self-learning fuzzy controllers based on temporal backpropagation , 1992, IEEE Trans. Neural Networks.
[15] John R. Koza,et al. Genetic programming (videotape): the movie , 1992 .
[16] Long Lin,et al. Memory Approaches to Reinforcement Learning in Non-Markovian Domains , 1992 .
[17] R. P. Wiegand,et al. UNIVERSITY OF DORTMUND REIHE COMPUTATIONAL INTELLIGENCE COLLABORATIVE RESEARCH CENTER 531 Design and Management of Complex Technical Processes and Systems by means of Computational Intelligence Methods The Cooperative Coevolutionary ( 1 + 1 ) EA , 1993 .
[18] Martin Mandischer,et al. Representation and Evolution of Neural Networks , 1993 .
[19] Andrew W. Moore,et al. Generalization in Reinforcement Learning: Safely Approximating the Value Function , 1994, NIPS.
[20] Jan Paredis,et al. Steps towards Coevolutionary Classification Neural Networks , 1994 .
[21] Randall D. Beer,et al. Integrating reactive, sequential, and learning behavior using dynamical neural networks , 1994 .
[22] David E. Goldberg,et al. Implicit Niching in a Learning Classifier System: Nature's Way , 1994, Evolutionary Computation.
[23] Jan Paredis,et al. Coevolutionary computation , 1995 .
[24] David B. Fogel,et al. Evolving Neural Control Systems , 1995, IEEE Expert.
[25] Richard S. Sutton,et al. Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding , 1995, NIPS.
[26] Stefano Nolfi,et al. Learning to Adapt to Changing Environments in Evolving Neural Networks , 1996, Adapt. Behav..
[27] Bruce A. Whitehead,et al. Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction , 1996, IEEE Trans. Neural Networks.
[28] Larry D. Pyeatt,et al. A comparison between cellular encoding and direct encoding for genetic neural networks , 1996 .
[29] Jordan B. Pollack,et al. Coevolution of a Backgammon Player , 1996 .
[30] Paul J. Darwen,et al. Co-Evolutionary Learning by Automatic Modularisation with Speciation , 1996 .
[31] R. Eriksson,et al. Cooperative Coevolution in Inventory Control Optimisation , 1997, ICANNGA.
[32] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[33] David E. Moriarty,et al. Symbiotic Evolution of Neural Networks in Sequential Decision Tasks , 1997 .
[34] Ashwin Ram,et al. Experiments with Reinforcement Learning in Problems with Continuous State and Action Spaces , 1997, Adapt. Behav..
[35] Richard K. Belew,et al. Coevolutionary search among adversaries , 1997 .
[36] Risto Miikkulainen,et al. Incremental Evolution of Complex General Behavior , 1997, Adapt. Behav..
[37] Vidroha Debroy,et al. Genetic Programming , 1998, Lecture Notes in Computer Science.
[38] Andrew W. Moore,et al. Gradient Descent for General Reinforcement Learning , 1998, NIPS.
[39] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[40] X. Yao. Evolving Artificial Neural Networks , 1999 .
[41] Frank M. Marchak,et al. That vision thing , 1999, SGCH.
[42] Yishay Mansour,et al. Policy Gradient Methods for Reinforcement Learning with Function Approximation , 1999, NIPS.
[43] Kee-Eung Kim,et al. Learning Finite-State Controllers for Partially Observable Environments , 1999, UAI.
[44] Risto Miikkulainen,et al. A neuro-evolution method for dynamic resource allocation on a chip multiprocessor , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).
[45] R. Paul Wiegand,et al. An empirical analysis of collaboration methods in cooperative coevolutionary algorithms , 2001 .
[46] Yoshua Bengio,et al. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies , 2001 .
[47] Andres S Perez-Bergquist. Applying ESP and Region Specialists to Neuro-Evolution for Go , 2001 .
[48] Alex Lubberts and Risto Miikkulainen. Co-Evolving a Go-Playing Neural network , 2001 .
[49] Nikolaus Hansen,et al. Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.
[50] Risto Miikkulainen,et al. Numerical optimization with neuroevolution , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[51] Risto Miikkulainen,et al. Evolving Neural Networks through Augmenting Topologies , 2002, Evolutionary Computation.
[52] Christian Igel,et al. Neuroevolution for reinforcement learning using evolution strategies , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[53] Risto Miikkulainen,et al. Active Guidance for a Finless Rocket Using Neuroevolution , 2003, GECCO.
[54] Thomas Jansen,et al. Exploring the Explorative Advantage of the Cooperative Coevolutionary (1+1) EA , 2003, GECCO.
[55] Risto Miikkulainen,et al. Evolving Keepaway Soccer Players through Task Decomposition , 2003, GECCO.
[56] Risto Miikkulainen,et al. Robust non-linear control through neuroevolution , 2003 .
[57] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[58] L. D. Whitley,et al. Genetic Reinforcement Learning for Neurocontrol Problems , 2004, Machine Learning.
[59] Rudolf Paul Wiegand,et al. An analysis of cooperative coevolutionary algorithms , 2004 .
[60] Gerald Tesauro,et al. Practical issues in temporal difference learning , 1992, Machine Learning.
[61] Long Ji Lin,et al. Self-improving reactive agents based on reinforcement learning, planning and teaching , 1992, Machine Learning.
[62] Risto Miikkulainen,et al. Efficient evolution of neural networks through complexification , 2004 .
[63] Risto Miikkulainen,et al. Effective image compression using evolved wavelets , 2005, GECCO '05.
[64] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[65] Mitchell A. Potter,et al. EVOLVING NEURAL NETWORKS WITH COLLABORATIVE SPECIES , 2006 .
[66] Sean Luke,et al. Archive-based cooperative coevolutionary algorithms , 2006, GECCO '06.
[67] Jürgen Schmidhuber,et al. Solving Deep Memory POMDPs with Recurrent Policy Gradients , 2007, ICANN.