Mortality and Healthcare: A Stochastic Control Analysis under Epstein-Zin Preferences. - Joshua Aurand; Yu-Jui Huang (SIAM J. Control. Optim., 2021)

Efficient Neural Style Transfer for Volumetric Simulations. - Joshua Aurand; Raphael Ortiz; Silvia Nauer; Vinicius C. Azevedo (ACM Trans. Graph., 2022)

Exposure-Based Multi-Agent Inspection of a Tumbling Target Using Deep Reinforcement Learning. - Joshua Aurand; Steven Cutlip; Henry Lei; Kendra Lang; Sean Phillips (CoRR, 2023)

The Safe Trusted Autonomy for Responsible Space Program. - Kerianne L. Hobbs; Sean Phillips; Michelle Simon; Joseph B. Lyons; Jared Culbertson; Hamilton Scott Clouse; Nathaniel Hamilton; Kyle Dunlap; Zachary S. Lippay; Joshua Aurand; Zachary I. Bell; Taleri Hammack; et al. (CoRR, 2025)

Assessing Autonomous Inspection Regimes: Active Versus Passive Satellite Inspection. - Joshua Aurand; Christopher Pang; Sina Mokhtar; Henry Lei; Steven Cutlip; Sean Phillips (CoRR, 2025)

Close-Proximity Satellite Operations through Deep Reinforcement Learning and Terrestrial Testing Environments. - Henry Lei; Joshua Aurand; Zachary S. Lippay; Sean Phillips (CoRR, 2025)

Stability Analysis of Deep Reinforcement Learning for Multi-Agent Inspection in a Terrestrial Testbed. - Henry Lei; Zachary S. Lippay; Anonto Zaman; Joshua Aurand; Amin Maghareh; Sean Phillips (CoRR, 2025)

Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning. - Nikita Rudin; Junzhe He; Joshua Aurand; Marco Hutter 001 (CoRR, 2025)