Interactive Policy Shaping for Human-Robot Collaboration with Transparent Matrix Overlays-Reference-Cited by-同舟云学术

Interactive Policy Shaping for Human-Robot Collaboration with Transparent Matrix Overlays

Published:2023-03-13 Issue: Volume: Page:
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Container-title:Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
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Author:

Brawer Jake¹^ORCID,Ghose Debasmita¹^ORCID,Candon Kate¹^ORCID,Qin Meiying¹^ORCID,Roncone Alessandro²^ORCID,Vázquez Marynel¹^ORCID,Scassellati Brian¹^ORCID

Affiliation:

1. Yale University, New Haven, CT, USA

2. University of Colorado, Boulder, CO, USA

Funder

Office of Naval Research

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3568162.3576983

Reference54 articles.

1. Joshua Achiam et al. "Constrained policy optimization". In: International con-ference on machine learning . PMLR. 2017 , pp. 22 -- 31 . Joshua Achiam et al. "Constrained policy optimization". In: International con-ference on machine learning. PMLR. 2017, pp. 22--31.

2. Pulkit Agrawal . " The Task Specification Problem". In: Conference on Robot Learning. PMLR. 2022 , pp. 1745 -- 1751 . Pulkit Agrawal. "The Task Specification Problem". In: Conference on Robot Learning. PMLR. 2022, pp. 1745--1751.

3. APRIL: Active Preference Learning-Based Reinforcement Learning

4. Preference-Based Policy Learning

5. Mohammed Alshiekh et al. "Safe reinforcement learning via shielding ". In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 32 . 1. 2018 . Mohammed Alshiekh et al. "Safe reinforcement learning via shielding". In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 32. 1. 2018.

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