Study and comparison of genetic algorithms when applied to lego mindstorms robots. - Jacob Schrum (J. Comput. Sci. Coll., 2004)

Constructing Complex NPC Behavior via Multi-Objective Neuroevolution. - Jacob Schrum; Risto Miikkulainen (AIIDE, 2008)

Evolving multi-modal behavior in NPCs. - Jacob Schrum; Risto Miikkulainen (CIG, 2009)

Evolving agent behavior in multiobjective domains using fitness-based shaping. - Jacob Schrum; Risto Miikkulainen (GECCO, 2010)

UT2: Human-like behavior via neuroevolution of combat behavior and replay of human traces. - Jacob Schrum; Igor Karpov; Risto Miikkulainen (CIG, 2011)

Believable Bot Navigation via Playback of Human Traces. - Igor V. Karpov; Jacob Schrum; Risto Miikkulainen (Believable Bots, 2012)

Human-Like Combat Behaviour via Multiobjective Neuroevolution. - Jacob Schrum; Igor V. Karpov; Risto Miikkulainen (Believable Bots, 2012)

Evolving Multimodal Networks for Multitask Games. - Jacob Schrum; Risto Miikkulainen (IEEE Trans. Comput. Intell. AI Games, 2012)

Evolving multimodal behavior with modular neural networks in Ms. Pac-Man. - Jacob Schrum; Risto Miikkulainen (GECCO, 2014)

Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution. - Jacob Schrum; Risto Miikkulainen (GECCO, 2015)

Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT. - Jacob Schrum; Joel Lehman; Sebastian Risi (GECCO (Companion), 2016)

Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior. - Jacob Schrum; Joel Lehman; Sebastian Risi (CoRR, 2016)

Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution. - Jacob Schrum; Risto Miikkulainen (Evol. Comput., 2016)

Discovering Multimodal Behavior in Ms. Pac-Man Through Evolution of Modular Neural Networks. - Jacob Schrum; Risto Miikkulainen (IEEE Trans. Comput. Intell. AI Games, 2016)

Comparing direct and indirect encodings using both raw and hand-designed features in tetris. - Lauren E. Gillespie; Gabriela R. Gonzalez; Jacob Schrum (GECCO, 2017)

Balancing selection pressures, multiple objectives, and neural modularity to coevolve cooperative agent behavior. - Alex C. Rollins; Jacob Schrum (GECCO (Companion), 2017)

Divide and conquer: neuroevolution for multiclass classification. - Tyler McDonnell; Sari Andoni; Elmira Bonab; Sheila Cheng; Jun-Hwan Choi; Jimmie Goode; Keith Moore; Gavin Sellers; Jacob Schrum (GECCO, 2018)

Evolving indirectly encoded convolutional neural networks to play tetris with low-level features. - Jacob Schrum (GECCO, 2018)

Querying across time to interactively evolve animations. - Isabel Tweraser; Lauren E. Gillespie; Jacob Schrum (GECCO, 2018)

Evolving mario levels in the latent space of a deep convolutional generative adversarial network. - Vanessa Volz; Jacob Schrum; Jialin Liu 001; Simon M. Lucas; Adam M. Smith 001; Sebastian Risi (GECCO, 2018)

Infinite Art Gallery: A Game World of Interactively Evolved Artwork. - Bryan Hollingsworth; Jacob Schrum (CEC, 2019)

Neuroevolution of Multimodal Ms. Pac-Man Controllers Under Partially Observable Conditions. - William Price; Jacob Schrum (CEC, 2019)

Desirable Behaviors for Companion Bots in First-Person Shooters. - Adina Friedman; Jacob Schrum (CoG, 2019)

Constructing Game Agents Through Simulated Evolution. - Jacob Schrum; Risto Miikkulainen (Encyclopedia of Computer Graphics and Games, 2019)

Generative Adversarial Network Rooms in Generative Graph Grammar Dungeons for The Legend of Zelda. - Jake Gutierrez; Jacob Schrum (CEC, 2020)

Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles®. - Anna Krolikowski; Sarah Friday; Alice Quintanilla; Jacob Schrum (EvoMUSART, 2020)

Interactive evolution and exploration within latent level-design space of generative adversarial networks. - Jacob Schrum; Jake Gutierrez; Vanessa Volz; Jialin Liu 001; Simon M. Lucas; Sebastian Risi (GECCO, 2020)

CPPN2GAN: combining compositional pattern producing networks and GANs for large-scale pattern generation. - Jacob Schrum; Vanessa Volz; Sebastian Risi (GECCO, 2020)

Using multiple generative adversarial networks to build better-connected levels for mega man. - Benjamin Capps; Jacob Schrum (GECCO, 2021)

Illuminating the space of beatable lode runner levels produced by various generative adversarial networks. - Kirby Steckel; Jacob Schrum (GECCO Companion, 2021)

Hybrid Encoding For Generating Large Scale Game Level Patterns With Local Variations Using a GAN. - Jacob Schrum; Benjamin Capps; Kirby Steckel; Vanessa Volz; Sebastian Risi (CoRR, 2021)

Evolving Flying Machines in Minecraft Using Quality Diversity. - Alejandro Medina; Melanie Richey; Mark Mueller; Jacob Schrum (GECCO, 2023)

Hybrid Encoding for Generating Large Scale Game Level Patterns With Local Variations. - Jacob Schrum; Benjamin Capps; Kirby Steckel; Vanessa Volz; Sebastian Risi (IEEE Trans. Games, 2023)

Guest Editorial: Special Issue on Evolutionary Computation for Games. - Jacob Schrum; Jialin Liu 001; Cameron Browne; Anikó Ekárt; Marcus Gallagher (IEEE Trans. Games, 2023)

A Quality Diversity Approach to Evolving Model Rockets. - Jacob Schrum; Cody Crosby (GECCO, 2025)

Text-to-Level Diffusion Models With Various Text Encoders for Super Mario Bros. - Jacob Schrum; Olivia Kilday; Emilio Salas; Bess Hagan; Reid Williams (CoRR, 2025)