Risto Miikkulainen
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- D. J. Chalmers, The evolution of learning: An experiment in genetic connectionism, in: Touretzky et al.<sup>74</sup>, 81--90.Google Scholar
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- N. S. Desai and R. Miikkulainen, Neuro-evolution and natural deduction, in: Proceedings of The First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks, 64--69, IEEE, Piscataway, NJ (2000).Google ScholarCross Ref
- G. Dubbin and K. O. Stanley, Learning to dance through interactive evolution, in: Proceedings of the Eighth European Event on Evolutionary and Biologically Inspired Music, Sound, Art and Design, Springer, Berlin (2010). Google ScholarDigital Library
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- F. Gomez, Robust Non-Linear Control Through Neuroevolution, Ph.D. thesis, Department of Computer Sciences, The University of Texas at Austin (2003). Google ScholarDigital Library
- F. Gomez, D. Burger, and R. Miikkulainen, A neuroevolution method for dynamic resource allocation on a chip multiprocessor, in: Proceedings of the INNS-IEEE International Joint Conference on Neural Networks, 2355--2361, IEEE, Piscataway, NJ (2001).Google Scholar
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- F. Gomez, J. Schmidhuber, and R. Miikkulainen, Accelerated neural evolution through cooperatively coevolved synapses, Journal of Machine Learning Research, 9:937--965 (2008). Google ScholarDigital Library
- B. Greer, H. Hakonen, R. Lahdelma, and R. Miikkulainen, Numerical optimization with neuroevolution, in: Proceedings of the 2002 Congress on Evolutionary Computation, 361--401, IEEE, Piscataway, NJ (2002).Google ScholarCross Ref
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- A. Jain, A. Subramoney, and R. Miikkulainen, Task decomposition with neuroevolution in extended predator-prey domain, in: Proceedings of Thirteenth International Conference on the Synthesis and Simulation of Living Systems, East Lansing, MI, USA (2012).Google ScholarCross Ref
- R. Koppejan and S. Whiteson, Neuroevolutionary reinforcement learning for generalized control of simulated helicopters, Evolutionary Intelligence, 4:219--241 (2011).Google ScholarCross Ref
- J. Lehman and K. O. Stanley, Abandoning objectives: Evolution through the search for novelty alone, Evolutionary Computation, 19:189--223 (2010). Google ScholarDigital Library
- D. Lessin, D. Fussell, and R. Miikkulainen, Open-ended behavioral complexity for evolved virtual creatures, in: Proceedings of the Genetic and Evolutionary Computation Conference (2013). Google ScholarDigital Library
- D. Lessin, D. Fussell, and R. Miikkulainen, Trading control intelligence for physical intelligence: Muscle drives in evolved virtual creatures, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), Vancouver, BC, Canada (July 2014). Google ScholarDigital Library
- X. Li and R. Miikkulainen, Evolving adaptive poker players for effective opponent exploitation, in: AAAI-17 Workshop on Computer Poker and Imperfect Information Games, San Francisco, CA, USA (2017).Google Scholar
- J. Z. Liang and R. Miikkulainen, Evolutionary bilevel optimization for complex control tasks, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), Madrid, Spain (July 2015). Google ScholarDigital Library
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- A. Lockett and R. Miikkulainen, Neuroannealing: Martingale-driven learning for neural network, in: Proceedings of the Genetic and Evolutionary Computation Conference (2013). Google ScholarDigital Library
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- E. Meyerson, J. Lehman, and R. Miikkulainen, Learning behavior characterizations for novelty search, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016), Denver, CO (2016). Google ScholarDigital Library
- E. Meyerson and R. Miikkulainen, Discovering evolutionary stepping stones through behavior domination, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017), Berlin, Germany (2017). Google ScholarDigital Library
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- D. E. Moriarty and R. Miikkulainen, Forming neural networks through efficient and adaptive co-evolution, Evolutionary Computation, 5:373--399 (1997). Google ScholarDigital Library
- D. E. Moriarty and R. Miikkulainen, Hierarchical evolution of neural networks, in: Proceedings of the 1998 IEEE Conference on Evolutionary Computation (ICEC'98), 428--433, IEEE, Piscataway, NJ (1998).Google ScholarCross Ref
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- D. Pardoe, M. Ryoo, and R. Miikkulainen, Evolving neural network ensembles for control problems, in: Proceedings of the Genetic and Evolutionary Computation Conference (2005). Google ScholarDigital Library
- M. A. Potter and K. A. D. Jong, Cooperative coevolution: An architecture for evolving coadapted subcomponents, Evolutionary Computation, 8:1--29 (2000). Google ScholarDigital Library
- A. Rawal and R. Miikkulainen, Evolving deep lstm-based memory networks using an information maximization objective, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016), Denver, CO (2016). Google ScholarDigital Library
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- J. Reisinger and R. Miikkulainen, Acquiring evolvability through adaptive representations, in: Proceeedings of the Genetic and Evolutionary Computation Conference, 1045--1052 (2007). Google ScholarDigital Library
- J. Reisinger, K. O. Stanley, and R. Miikkulainen, Evolving reusable neural modules, in: Proceedings of the Genetic and Evolutionary Computation Conference (2004).Google ScholarCross Ref
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- J. Schmidhuber, Deep learning in neural networks: An overview, Neural Networks, 61:85--117 (2015). Google ScholarDigital Library
- J. Schrum, I. Karpov, and R. Miikkulainen, Humanlike combat behavior via multiobjective neuroevolution, in: Believable Bots, P. Hingston, ed., Springer, New York (2012).Google Scholar
- J. Schrum and R. Miikkulainen, Evolving agent behavior in multiobjective domains using fitness-based shaping, in: Proceedings of the Genetic and Evolutionary Computation Conference (2010). Google ScholarDigital Library
- J. Secretan, N. Beato, D. B. D'Ambrosio, A. Rodriguez, A. Campbell, J. T. Folsom-Kovarik, and K. O. Stanley, Picbreeder: A case study in collaborative evolutionary exploration of design space, Evolutionary Computation, 19:345--371 (2011). Google ScholarDigital Library
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- K. O. Stanley, B. D. Bryant, and R. Miikkulainen, Evolving adaptive neural networks with and without adaptive synapses, in: Proceedings of the 2003 Congress on Evolutionary Computation, IEEE, Piscataway, NJ (2003).Google ScholarCross Ref
- K. O. Stanley and J. Lehman, Why Greatness Cannot Be Planned: The Myth of the Objective, Springer, Berlin (2015). Google ScholarDigital Library
- K. O. Stanley and R. Miikkulainen, Evolving Neural Networks Through Augmenting Topologies, Evolutionary Computation, 10:99--127 (2002). Google ScholarDigital Library
- K. O. Stanley and R. Miikkulainen, A taxonomy for artificial embryogeny, Artificial Life, 9(2):93--130 (2003). Google ScholarDigital Library
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- W. Tansey, E. Feasley, and R. Miikkulainen, Accelerating evolution via egalitarian social learning, in: Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO 2012), Philadelphia, Pennsylvania, USA (July 2012). Google ScholarDigital Library
- M. Taylor, S. Whiteson, and P. Stone, Comparing evolutionary and temporal difference methods in a reinforcement learning domain, in: Proceedings of the Genetic and Evolutionary Computation Conference (2006). Google ScholarDigital Library
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- V. Valsalam, J. Hiller, R. MacCurdy, H. Lipson, and R. Miikkulainen, Constructing controllers for physical multilegged robots using the enso neuroevolution approach, Evolutionary Intelligence, 14:303--331 (2013).Google Scholar
- V. Valsalam and R. Miikkulainen, Evolving symmetry for modular system design, IEEE Transactions on Evolutionary Computation, 15:368--386 (2011). Google ScholarDigital Library
- V. K. Valsalam, J. A. Bednar, and R. Miikkulainen, Constructing good learners using evolved pattern generators, in: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2005, H.-G. Beyer et al., eds., 11--18, New York: ACM (2005). Google ScholarDigital Library
- V. K. Valsalam and R. Miikkulainen, Modular neuroevolution for multilegged locomotion, in: Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2008, 265--272, ACM, New York, NY, USA (2008). Google ScholarDigital Library
- V. K. Valsalam and R. Miikkulainen, Evolving symmetric and modular neural networks for distributed control, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2009, 731--738, ACM, New York, NY, USA (2009). Google ScholarDigital Library
- A. van Eck Conradie, R. Miikkulainen, and C. Aldrich, Adaptive control utilising neural swarming, in: Proceedings of the Genetic and Evolutionary Computation Conference, W. B. Langdon, E. Cantú-Paz, K. E. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A. C. Schultz, J. F. Miller, E. K. Burke, and N. Jonoska, eds., San Francisco: Morgan Kaufmann (2002).Google ScholarDigital Library
- A. van Eck Conradie, R. Miikkulainen, and C. Aldrich, Intelligent process control utilizing symbiotic memetic neuro-evolution, in: Proceedings of the 2002 Congress on Evolutionary Computation (2002).Google Scholar
- O. Vinyals, A. Toshev, S. Bengio, and D. Erhan, Show and tell: A neural image caption generator, in: Proc. of CVPR, 3156--3164 (2015).Google ScholarCross Ref
- S. Whiteson, N. Kohl, R. Miikkulainen, and P. Stone, Evolving keepaway soccer players through task decomposition, Machine Learning, 59:5--30 (2005). Google ScholarDigital Library
- S. Whiteson and P. Stone, Evolutionary function approximation for reinforcement learning, Journal of Machine Learning Research, 7:877--917 (2006). Google ScholarDigital Library
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