When Oracles Go Wrong: Using Preferences as a Means to Explore. - Isaac S. Sheidlower; Elaine Schaertl Short (HRI (Companion), 2021)

Environment Guided Interactive Reinforcement Learning: Learning from Binary Feedback in High-Dimensional Robot Task Environments. - Isaac S. Sheidlower; Elaine Schaertl Short; Allison Moore (AAMAS, 2022)

Keeping Humans in the Loop: Teaching via Feedback in Continuous Action Space Environments. - Isaac S. Sheidlower; Allison Moore; Elaine Short (IROS, 2022)

Modifying RL Policies with Imagined Actions: How Predictable Policies Can Enable Users to Perform Novel Tasks. - Isaac S. Sheidlower; Reuben M. Aronson; Elaine Short (CoRR, 2023)

On the Effect of Robot Errors on Human Teaching Dynamics. - Jindan Huang; Isaac S. Sheidlower; Reuben M. Aronson; Elaine Schaertl Short (HAI, 2024)

Online Behavior Modification for Expressive User Control of RL-Trained Robots. - Isaac S. Sheidlower; Mavis Murdock; Emma Bethel; Reuben M. Aronson; Elaine Schaertl Short (HRI, 2024)

Imagining In-distribution States: How Predictable Robot Behavior Can Enable User Control Over Learned Policies. - Isaac S. Sheidlower; Emma Bethel; Douglas Lilly; Reuben M. Aronson; Elaine Schaertl Short (RO-MAN, 2024)

Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach. - Isaac S. Sheidlower; Reuben M. Aronson; Elaine Schaertl Short (CoRR, 2024)