Intervention Aware Shared Autonomy
Published in ICML Workshop on Human-AI Collaboration in Sequential Decision-Making, 2021
Recommended citation: Weihao Tan*, David Koleczek*, Siddhant Pradhan*, Nicholas Perello, Vivek Chettiar, Nan Ma, Aaslesha Rajaram, Vishal Rohra, Soundar Srinivasan, H M Sajjad Hossain^, and Yash Chandak^. Intervention Aware Shared Autonomy. In ICML Workshop on Human-AI Collaboration in Sequential Decision-Making, 2021.
Workshop paper presented at the ICML 2021 Workshop on Human-AI Collaboration in Sequential Decision-Making. It examines shared autonomy agents that improve a human’s performance while constraining how often they intervene, so that assistance does not degrade the user’s experience, and proposes model-free reinforcement learning methods that account for hard and soft constraints on the number of interventions. The extended version appeared at AAAI 2022 as On Optimizing Interventions in Shared Autonomy.