Selected publications ‒ see here for a complete list.
Gelpí, Rebekah A.; Tang, Yikai; Jackson, Ethan C.; Cunningham, William A.: Social coordination perpetuates stereotypic expectations and behaviors across generations in deep multi-agent reinforcement learning
PNAS Nexus, 2025.
Guan, Jonas; Verch, Shon; Voelcker, Claas; Jackson, Ethan C.; Papernot, Nicolas; Cunningham, William A.: Temporal-difference learning using distributed error signals
Advances in Neural Information Processing Systems, 2024.
Kupferschmidt, Kristina L.; Requiema, James; Simpson, Mya; Varsallay, Zohrah; Jackson, Ethan C.; Kupferschmidt, Cody; El-Shawa, Sara; Taylor, Graham W.: Food for thought: How can machine learning help better predict and understand changes in food prices?
arXiv preprint arXiv:2412.06472, 2024.
Jackson, Ethan C.: Algebraic neural architecture representation, evolutionary neural architecture search, and novelty search in deep reinforcement learning
The University of Western Ontario, 2019.
Jackson, Ethan C.; Daley, Mark.: Novelty search for deep reinforcement learning policy network weights by action sequence edit metric distance
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019.
Ethan C. Jackson, PhD 