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The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.

J. Lehman, J. Clune, D. Misevic, C. Adami, L. Altenberg, J. Beaulieu, P. Bentley, S. Bernard, G. Beslon, D. Bryson, N. Cheney, P. Chrabaszcz, A. Cully, S. Doncieux, F. Dyer, K. Ellefsen, R. Feldt, S. Fischer, S. Forrest, A. Frénoy, C. Gagné, L. Goff, L. Grabowski, B. Hodjat, F. Hutter, L. Keller, C. Knibbe, P. Krcah, R. Lenski, H. Lipson, R. MacCurdy, C. Maestre, R. Miikkulainen, S. Mitri, D. Moriarty, J. Mouret, A. Nguyen, C. Ofria, M. Parizeau, D. Parsons, R. Pennock, W. Punch, T. Ray, M. Schoenauer, E. Schulte, K. Sims, K. Stanley, F. Taddei, D. Tarapore, S. Thibault, R. Watson, W. Weimer, и J. Yosinski. Artif. Life, 26 (2): 274-306 (2020)

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The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research CommunitiesJ. Lehman, J. Clune, D. Misevic, C. Adami, J. Beaulieu, P. Bentley, S. Bernard, G. Beslon, D. Bryson, P. Chrabaszcz и 42 other автор(ы). (2018)cite arxiv:1803.03453.The evolutionary origins of modularityJ. Clune, J. Mouret, и H. Lipson. CoRR, (2012)Deep Curiosity Search: Intra-Life Exploration Improves Performance on Challenging Deep Reinforcement Learning Problems.C. Stanton, и J. Clune. CoRR, (2018)ES Is More Than Just a Traditional Finite-Difference Approximator.J. Lehman, J. Chen, J. Clune, и K. Stanley. CoRR, (2017)Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions.R. Wang, J. Lehman, J. Clune, и K. Stanley. CoRR, (2019)Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods.J. Zhi, R. Wang, J. Clune, и K. Stanley. CoRR, (2020)Go-Explore: a New Approach for Hard-Exploration Problems.A. Ecoffet, J. Huizinga, J. Lehman, K. Stanley, и J. Clune. CoRR, (2019)ES is more than just a traditional finite-difference approximator.J. Lehman, J. Chen, J. Clune, и K. Stanley. GECCO, стр. 450-457. ACM, (2018)Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm.J. Huizinga, и J. Clune. CoRR, (2018)Neuromodulation Improves the Evolution of Forward Models.M. Norouzzadeh, и J. Clune. GECCO, стр. 157-164. ACM, (2016)

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