Dylan Hadfield-Menell

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Anca D DraganAssistant Professor at UC Berkeley // Director, AI Safety and Alignment, Google DeepMindAdresse e-mail validée de berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyAdresse e-mail validée de cs.berkeley.edu
Pieter AbbeelUC Berkeley | CovariantAdresse e-mail validée de cs.berkeley.edu
Stephen CasperPhD student, MITAdresse e-mail validée de mit.edu
Gillian K. HadfieldJohns Hopkins University, Dept of Computer Science and School of Government and PolicyAdresse e-mail validée de jhu.edu
Andreas HauptStanford UniversityAdresse e-mail validée de stanford.edu
Smitha MilliMeta FAIRAdresse e-mail validée de meta.com
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityAdresse e-mail validée de princeton.edu
Rohan ChitnisMeta AI, MIT, UC BerkeleyAdresse e-mail validée de fb.com
McKane AndrusUW HCDEAdresse e-mail validée de uw.edu
Jaime Fernández FisacAssistant Professor of Electrical and Computer Engineering, Princeton UniversityAdresse e-mail validée de princeton.edu
Sandy H HuangResearch Scientist, DeepMindAdresse e-mail validée de berkeley.edu
Joel Z LeiboResearch scientistAdresse e-mail validée de google.com
Simon ZhuangAdresse e-mail validée de berkeley.edu
Robert D. HawkinsStanford UniversityAdresse e-mail validée de stanford.edu
Mark HoAssistant Professor, New York UniversityAdresse e-mail validée de nyu.edu
Siddharth SrivastavaArizona State UniversityAdresse e-mail validée de asu.edu
Micah CarrollPhD student, UC BerkeleyAdresse e-mail validée de berkeley.edu
Gokul SwamyPhD Candidate, Carnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Gabriel KreimanProfessor, Harvard Medical School and Children's HospitalAdresse e-mail validée de tch.harvard.edu

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Dylan Hadfield-Menell

Massachusetts Institute of Technology

Adresse e-mail validée de csail.mit.edu - Page d'accueil

Artificial Intelligence


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Cooperative Inverse Reinforcement Learning D Hadfield-Menell, SJ Russell, P Abbeel, A Dragan Advances in Neural Information Processing Systems 29, 2016	841	2016
Inverse Reward Design D Hadfield-Menell, S Milli, P Abbeel, SJ Russell, A Dragan Advances in Neural Information Processing Systems 30, 2017	507	2017
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ... Transactions on Machine Learning Research, 2023	434	2023
Toward Transparent AI: A survey on interpreting the inner structures of deep neural networks T Räuker, A Ho, S Casper, D Hadfield-Menell 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 464-483, 2023	190	2023
The off-switch game D Hadfield-Menell, A Dragan, P Abbeel, S Russell Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017	190	2017
On the geometry of adversarial examples M Khoury, D Hadfield-Menell arXiv preprint arXiv:1811.00525, 2018	113*	2018
Incomplete contracting and AI alignment D Hadfield-Menell, GK Hadfield Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 417-422, 2019	108	2019
Pragmatic-pedagogic value alignment JF Fisac, MA Gates, JB Hamrick, C Liu, D Hadfield-Menell, ... Robotics research: the 18th international symposium Isrr, 49-57, 2020	106	2020
Guided search for task and motion plans using learned heuristics R Chitnis, D Hadfield-Menell, A Gupta, S Srivastava, E Groshev, C Lin, ... 2016 IEEE International Conference on Robotics and Automation (ICRA), 447-454, 2016	95	2016
Consequences of Misaligned AI S Zhuang, D Hadfield-Menell Advances in Neural Information Processing Systems 33, 15763-15773, 2020	93	2020
Explore, establish, exploit: Red teaming language models from scratch S Casper, J Lin, J Kwon, G Culp, D Hadfield-Menell arXiv preprint arXiv:2306.09442, 2023	84	2023
What are you optimizing for? aligning recommender systems with human values J Stray, I Vendrov, J Nixon, S Adler, D Hadfield-Menell arXiv preprint arXiv:2107.10939, 2021	83	2021
Should robots be obedient? S Milli, D Hadfield-Menell, A Dragan, S Russell Proceedings of the 26th International Joint Conference on Artificial …, 2017	81	2017
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis and Open Problems J Stray, A Halevy, P Assar, D Hadfield-menell, C Boutilier, A Ashar, ... ACM Transactions on Recommender Systems, 2023	71*	2023
On the utility of model learning in hri R Choudhury, G Swamy, D Hadfield-Menell, AD Dragan 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2019	68	2019
Conservative Agency via Attainable Utility Preservation AM Turner, D Hadfield-Menell, P Tadepalli Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 385-391, 2020	67	2020
Expressive robot motion timing A Zhou, D Hadfield-Menell, A Nagabandi, AD Dragan Proceedings of the 2017 ACM/IEEE international conference on human-robot …, 2017	67	2017
Black-Box Access is Insufficient for Rigorous AI Audits S Casper, C Ezell, C Siegmann, N Kolt, TL Curtis, B Bucknall, A Haupt, ... Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024	60	2024
Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents R Köster, D Hadfield-Menell, R Everett, L Weidinger, GK Hadfield, ... Proceedings of the National Academy of Sciences 119 (3), e2106028118, 2022	60*	2022
Modular task and motion planning in belief space D Hadfield-Menell, E Groshev, R Chitnis, P Abbeel 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015	60	2015

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