Jacob Schrum

发表

Believable Bot Navigation via Playback of Human Traces

Risto Miikkulainen, Jacob Schrum, Igor V. Karpov, 2012, Believable Bots.

Evolving multimodal behavior through modular multiobjective neuroevolution

Jacob Schrum, Jacob Schrum, 2015 .

Encyclopedia of Computer Graphics and Games

Risto Miikkulainen, Jacob Schrum, R. Miikkulainen, 2019 .

Evolving agent behavior in multiobjective domains using fitness-based shaping

Risto Miikkulainen, Jacob Schrum, 2010, GECCO '10.

Human-Like Combat Behaviour via Multiobjective Neuroevolution

Risto Miikkulainen, Jacob Schrum, Igor V. Karpov, 2012, Believable Bots.

Balancing selection pressures, multiple objectives, and neural modularity to coevolve cooperative agent behavior

Jacob Schrum, Alex C. Rollins, Jacob Schrum, 2017, GECCO.

Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior pdf

Jacob Schrum, Sebastian Risi, Joel Lehman, 2016, ArXiv.

Querying across time to interactively evolve animations

Jacob Schrum, Isabel Tweraser, Lauren E. Gillespie, 2018, GECCO.

Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles®

Jacob Schrum, Anna Krolikowski, Sarah Friday, 2020, EvoMUSART.

Study and comparison of genetic algorithms when applied to lego mindstorms robots

Jacob Schrum, 2004 .

BotPrize 2012 Champion: A Human-like Bot for Unreal Tournament

Risto Miikkulainen, Jacob Schrum, Igor V. Karpov, 2012 .

Evolving multi-modal behavior in NPCs

Risto Miikkulainen, Jacob Schrum, R. Miikkulainen, 2009, CIG.

Evolving indirectly encoded convolutional neural networks to play tetris with low-level features

Jacob Schrum, 2018, GECCO.

Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution

Risto Miikkulainen, Jacob Schrum, R. Miikkulainen, 2016, Evolutionary Computation.

UT2: Human-like behavior via neuroevolution of combat behavior and replay of human traces

Risto Miikkulainen, Jacob Schrum, Igor V. Karpov, 2011, CIG.

Evolving mario levels in the latent space of a deep convolutional generative adversarial network

Simon M. Lucas, Jacob Schrum, Sebastian Risi, 2018, GECCO.

Evolving Multimodal Networks for Multitask Games

Risto Miikkulainen, Jacob Schrum, R. Miikkulainen, 2012, IEEE Transactions on Computational Intelligence and AI in Games.

Competition Between Reinforcement Learning Methods in a Predator-Prey Grid World

Jacob Schrum, 2008 .

CPPN2GAN: combining compositional pattern producing networks and GANs for large-scale pattern generation

Jacob Schrum, Sebastian Risi, Vanessa Volz, 2020, GECCO.

Neuroevolution of Multimodal Ms. Pac-Man Controllers Under Partially Observable Conditions

Jacob Schrum, William Price, Jacob Schrum, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Constructing complex NPC behavior via multi-objective neuroevolution

Risto Miikkulainen, Jacob Schrum, 2008, AAAI 2008.

Divide and conquer: neuroevolution for multiclass classification

Jacob Schrum, Keith Moore, Tyler McDonnell, 2018, GECCO.

Genetic Algorithms and Neural Networks: The Building Blocks of Artificial Life

Jacob Schrum, 2006 .

Evolving multimodal behavior with modular neural networks in Ms. Pac-Man

Risto Miikkulainen, Jacob Schrum, 2014, GECCO.

Discovering Multimodal Behavior in Ms. Pac-Man Through Evolution of Modular Neural Networks

Risto Miikkulainen, Jacob Schrum, R. Miikkulainen, 2016, IEEE Transactions on Computational Intelligence and AI in Games.

Generative Adversarial Network Rooms in Generative Graph Grammar Dungeons for The Legend of Zelda

Jacob Schrum, Jake Gutierrez, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT

Jacob Schrum, Sebastian Risi, Joel Lehman, 2016, GECCO.

Comparing direct and indirect encodings using both raw and hand-designed features in tetris

Jacob Schrum, Lauren E. Gillespie, Gabriela R. Gonzalez, 2017, GECCO.

Infinite Art Gallery: A Game World of Interactively Evolved Artwork

Jacob Schrum, Bryan Hollingsworth, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution

Risto Miikkulainen, Jacob Schrum, R. Miikkulainen, 2015, GECCO.

Interactive evolution and exploration within latent level-design space of generative adversarial networks

Jacob Schrum, Sebastian Risi, Jialin Liu, 2020, GECCO.

Desirable Behaviors for Companion Bots in First-Person Shooters

Jacob Schrum, Adina Friedman, Jacob Schrum, 2019, 2019 IEEE Conference on Games (CoG).

Evolving multimodal networks for multitask games

Risto Miikkulainen, Jacob Schrum, R. Miikkulainen, 2011, CIG.

Hybrid Encoding For Generating Large Scale Game Level Patterns With Local Variations Using a GAN pdf

Kirby Steckel, Jacob Schrum, Sebastian Risi, 2021, ArXiv.

Using multiple generative adversarial networks to build better-connected levels for mega man

Jacob Schrum, Benjamin Capps, Jacob Schrum, 2021, GECCO.

Neuro-Evolution in Multi-Player Pente

Jacob Schrum, 2006 .