no code implementations • 14 Jul 2023 • Omer Reingold, Judy Hanwen Shen, Aditi Talati
While explainability is a desirable characteristic of increasingly complex black-box models, modern explanation methods have been shown to be inconsistent and contradictory.
1 code implementation • 13 Dec 2021 • Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh
We present PantheonRL, a multiagent reinforcement learning software package for dynamic training interactions such as round-robin, adaptive, and ad-hoc training.
1 code implementation • 16 Aug 2021 • Erdem Biyik, Aditi Talati, Dorsa Sadigh
Reward learning is a fundamental problem in human-robot interaction to have robots that operate in alignment with what their human user wants.
no code implementations • 13 Jan 2020 • Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh
Overall, we extend existing rational human models so that collaborative robots can anticipate and plan around suboptimal human behavior during HRI.