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Now showing items 1-6 of 6

Evolving Indirectly Encoded Convolutional Neural Networks to Play Tetris With Low-Level Features

Schrum, Jacob (Proceedings of the Genetic and Evolutionary Computation Conference, 2018-07)
Comparing Direct and Indirect Encodings Using Both Raw and Hand-Designed Features in Tetris

Schrum, Jacob; Gillespie, Lauren E.; Gonzalez, Gabriela R. (Proceedings of the Genetic and Evolutionary Computation Conference, 2017-07)
Divide and conquer: neuroevolution for multiclass classification

Schrum, Jacob; McDonnell, Tyler; Andoni, Sari; Bonab, Elmira; Cheng, Sheila; Goode, Jimmie; Moore, Keith; Sellers, Gavin; Choi, Jun-Hwan (GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference, 2018-07)
Evolving mario levels in the latent space of a deep convolutional generative adversarial network

Schrum, Jacob; Volz, Vanessa; Lucas, Simon M.; Smith, Adam; Liu, Jialin; Risi, Sebastian (Proceedings of the Genetic and Evolutionary Computation Conference, 2018-07)
Querying across time to interactively evolve animations

Schrum, Jacob; Tweraser, Isabel; Gillespie, Lauren E. (Proceedings of the Genetic and Evolutionary Computation Conference, 2018-07)
Balancing selection pressures, multiple objectives, and neural modularity to coevolve cooperative agent behavior

Schrum, Jacob; Rollins, Alex C. (GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017-07)