7 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Reducing Human-Robot Goal State Divergence with Environment Design
Kelsey Sikes, Sarah Keren, Sarath Sreedharan
One of the most difficult challenges in creating successful human-AI collaborations is aligning a robot's behavior with a human user's expectations. When this fails to occur, a rob…
cs.RO2023
Value of Assistance for Mobile Agents
Adi Amuzig, David Dovrat, Sarah Keren
Mobile robotic agents often suffer from localization uncertainty which grows with time and with the agents' movement. This can hinder their ability to accomplish their task. In som…
cs.AI2022★ 7 cited
Explainable Reinforcement Learning via Model Transforms
Mira Finkelstein, Lucy Liu, Nitsan Levy Schlot +4
Understanding emerging behaviors of reinforcement learning (RL) agents may be difficult since such agents are often trained in complex environments using highly complex decision ma…