Jacob Schrum

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 31

Top Topics

Evolutionary Learning

Modular Neural Networks

Multiclass Classification

Top Venues

GECCO (Companion)

Publications

Jacob Schrum, Benjamin Capps, Kirby Steckel, Vanessa Volz, Sebastian Risi
Hybrid Encoding for Generating Large Scale Game Level Patterns With Local Variations. IEEE Trans. Games 15 (1) (2023)
Jacob Schrum, Jialin Liu, Cameron Browne, Anikó Ekárt, Marcus Gallagher
Guest Editorial: Special Issue on Evolutionary Computation for Games. IEEE Trans. Games 15 (1) (2023)
Alejandro Medina, Melanie Richey, Mark Mueller, Jacob Schrum
Evolving Flying Machines in Minecraft Using Quality Diversity. GECCO (2023)
Alejandro Medina, Melanie Richey, Mark Mueller, Jacob Schrum
Evolving Flying Machines in Minecraft Using Quality Diversity. CoRR (2023)
Kirby Steckel, Jacob Schrum
Illuminating the space of beatable lode runner levels produced by various generative adversarial networks. GECCO Companion (2021)
Benjamin Capps, Jacob Schrum
Using multiple generative adversarial networks to build better-connected levels for mega man. GECCO (2021)
Kirby Steckel, Jacob Schrum
Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial Networks. CoRR (2021)
Benjamin Capps, Jacob Schrum
Using Multiple Generative Adversarial Networks to Build Better-Connected Levels for Mega Man. CoRR (2021)
Jacob Schrum, Benjamin Capps, Kirby Steckel, Vanessa Volz, Sebastian Risi
Hybrid Encoding For Generating Large Scale Game Level Patterns With Local Variations Using a GAN. CoRR (2021)
Jake Gutierrez, Jacob Schrum
Generative Adversarial Network Rooms in Generative Graph Grammar Dungeons for The Legend of Zelda. CoRR (2020)
Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu, Simon M. Lucas, Sebastian Risi
Interactive evolution and exploration within latent level-design space of generative adversarial networks. GECCO (2020)
Anna Krolikowski, Sarah Friday, Alice Quintanilla, Jacob Schrum
. EvoMUSART (2020)
Jacob Schrum, Vanessa Volz, Sebastian Risi
CPPN2GAN: combining compositional pattern producing networks and GANs for large-scale pattern generation. GECCO (2020)
Jake Gutierrez, Jacob Schrum
Generative Adversarial Network Rooms in Generative Graph Grammar Dungeons for The Legend of Zelda. CEC (2020)
Jacob Schrum, Vanessa Volz, Sebastian Risi
CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation. CoRR (2020)
Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu, Simon M. Lucas, Sebastian Risi
Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks. CoRR (2020)
Adina Friedman, Jacob Schrum
Desirable Behaviors for Companion Bots in First-Person Shooters. CoG (2019)
William Price, Jacob Schrum
Neuroevolution of Multimodal Ms. Pac-Man Controllers Under Partially Observable Conditions. CEC (2019)
Bryan Hollingsworth, Jacob Schrum
Infinite Art Gallery: A Game World of Interactively Evolved Artwork. CEC (2019)
Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam M. Smith, Sebastian Risi
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network. CoRR (2018)
Jacob Schrum
Evolving indirectly encoded convolutional neural networks to play tetris with low-level features. GECCO (2018)
Tyler McDonnell, Sari Andoni, Elmira Bonab, Sheila Cheng, Jun-Hwan Choi, Jimmie Goode, Keith Moore, Gavin Sellers, Jacob Schrum
Divide and conquer: neuroevolution for multiclass classification. GECCO (2018)
Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam M. Smith, Sebastian Risi
Evolving mario levels in the latent space of a deep convolutional generative adversarial network. GECCO (2018)
Isabel Tweraser, Lauren E. Gillespie, Jacob Schrum
Querying across time to interactively evolve animations. GECCO (2018)
Alex C. Rollins, Jacob Schrum
Balancing selection pressures, multiple objectives, and neural modularity to coevolve cooperative agent behavior. GECCO (Companion) (2017)
Alex C. Rollins, Jacob Schrum
Balancing Selection Pressures, Multiple Objectives, and Neural Modularity to Coevolve Cooperative Agent Behavior. CoRR (2017)
Lauren E. Gillespie, Gabriela R. Gonzalez, Jacob Schrum
Comparing direct and indirect encodings using both raw and hand-designed features in tetris. GECCO (2017)
Jacob Schrum, Joel Lehman, Sebastian Risi
Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior. CoRR (2016)
Jacob Schrum, Risto Miikkulainen
Discovering Multimodal Behavior in Ms. Pac-Man Through Evolution of Modular Neural Networks. IEEE Trans. Comput. Intell. AI Games 8 (1) (2016)
Jacob Schrum, Risto Miikkulainen
Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution. Evol. Comput. 24 (3) (2016)
Jacob Schrum, Joel Lehman, Sebastian Risi
Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT. GECCO (Companion) (2016)
Jacob Schrum, Risto Miikkulainen
Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution. GECCO (2015)
Jacob Schrum, Risto Miikkulainen
Evolving multimodal behavior with modular neural networks in Ms. Pac-Man. GECCO (2014)
Jacob Schrum, Risto Miikkulainen
Evolving Multimodal Networks for Multitask Games. IEEE Trans. Comput. Intell. AI Games 4 (2) (2012)
Jacob Schrum, Igor Karpov, Risto Miikkulainen
: Human-like behavior via neuroevolution of combat behavior and replay of human traces. CIG (2011)
Jacob Schrum, Risto Miikkulainen
Evolving multimodal networks for multitask games. CIG (2011)
Jacob Schrum, Risto Miikkulainen
Evolving agent behavior in multiobjective domains using fitness-based shaping. GECCO (2010)
Jacob Schrum, Risto Miikkulainen
Evolving multi-modal behavior in NPCs. CIG (2009)
Jacob Schrum, Risto Miikkulainen
Constructing Complex NPC Behavior via Multi-Objective Neuroevolution. AIIDE (2008)