Bio
Isaac Samuel Sheidlower is a PhD student at Tufts University in the Department of Computer Science. Currently is working in the The Assistive Agent Behavior and Learning Lab (AABL) under the supervision of Dr. Elaine Short. He graduated from Rugers University New Brunswick (2020) in the Honors Program with a BA in Cognitive Science and a minor in Computer Science. He is also a member of the Phi Beta Kappa Honors Society.
Research Interests
My interests lie in people driven computer science. In other words, how to develop AI and robots that both help people and are inspired by people. To these ends, I am concerned with developing algorithms that allow robots to fluidly interact with and learn from humans.
Publications
- Modifying RL Policies with Imagined Actions: How Predictable Policies can Enable Users to Perform Novel Tasks
Isaac Sheidlower, Reuben Aronson, Elaine Short
AAAI Fall Symposium: AI-HRI, Short Contributions Paper, https://ai-hri.github.io/2023/papers/FSS-23_paper_9464_cr.pdf - Keeping Humans in the Loop: Teaching via Feedback in Continuous Action Space Environments
Isaac Sheidlower, Allison Moore, Elaine Short
IROS 2022, Conference Paper, https://ieeexplore.ieee.org/document/9982282 - Environment Guided Interactive Reinforcement Learning: Learning from Binary Feedback in High-Dimensional Robot Task Environments
Isaac Sheidlower, Allison Moore, Elaine Short
AAMAS 2022, Extended Abstract, https://dl.acm.org/doi/10.5555/3535850.3536090 - When Oracles Go Wrong: Using Preferences as a Means to Explore
Isaac Sheidlower, Elaine Short
HRI 2021, Late Breaking Report (LBR), https://dl.acm.org/doi/10.1145/3434074.3447189
Nominated for best LBR*
Get In Touch
Please email me with any inquiries. Thank you very much.