Dylan Hadfield-Menell

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Anca D DraganAssistant Professor at UC Berkeley // Director, AI Safety and Alignment, Google DeepMindPatvirtintas el. paštas berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyPatvirtintas el. paštas cs.berkeley.edu
Stephen CasperPhD student, MITPatvirtintas el. paštas mit.edu
Pieter AbbeelUC Berkeley | CovariantPatvirtintas el. paštas cs.berkeley.edu
Gillian K. HadfieldJohns Hopkins University, Dept of Computer Science and School of Government and PolicyPatvirtintas el. paštas jhu.edu
Smitha MilliMeta FAIRPatvirtintas el. paštas meta.com
Andreas HauptStanford UniversityPatvirtintas el. paštas stanford.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityPatvirtintas el. paštas princeton.edu
Rohan ChitnisMeta AI, MIT, UC BerkeleyPatvirtintas el. paštas fb.com
Joel Z LeiboResearch scientistPatvirtintas el. paštas google.com
McKane AndrusUW HCDEPatvirtintas el. paštas uw.edu
Jaime Fernández FisacAssistant Professor of Electrical and Computer Engineering, Princeton UniversityPatvirtintas el. paštas princeton.edu
Simon ZhuangPatvirtintas el. paštas berkeley.edu
Sandy H HuangResearch Scientist, DeepMindPatvirtintas el. paštas berkeley.edu
Robert D. HawkinsStanford UniversityPatvirtintas el. paštas stanford.edu
Mark HoAssistant Professor, New York UniversityPatvirtintas el. paštas nyu.edu
Siddharth SrivastavaArizona State UniversityPatvirtintas el. paštas asu.edu
Micah CarrollPhD student, UC BerkeleyPatvirtintas el. paštas berkeley.edu
Gabriel KreimanProfessor, Harvard Medical School and Children's HospitalPatvirtintas el. paštas tch.harvard.edu
Gokul SwamyPhD Candidate, Carnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu

Stebėti

Dylan Hadfield-Menell

Massachusetts Institute of Technology

Patvirtintas el. paštas csail.mit.edu - Pagrindinis puslapis

Artificial Intelligence


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Cooperative Inverse Reinforcement Learning D Hadfield-Menell, SJ Russell, P Abbeel, A Dragan Advances in Neural Information Processing Systems 29, 2016	852	2016
Inverse Reward Design D Hadfield-Menell, S Milli, P Abbeel, SJ Russell, A Dragan Advances in Neural Information Processing Systems 30, 2017	506	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	477	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	193	2017
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	191	2023
On the geometry of adversarial examples M Khoury, D Hadfield-Menell arXiv preprint arXiv:1811.00525, 2018	115*	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	111	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	103	2020
Consequences of Misaligned AI S Zhuang, D Hadfield-Menell Advances in Neural Information Processing Systems 33, 15763-15773, 2020	97	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
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	87	2023
Should robots be obedient? S Milli, D Hadfield-Menell, A Dragan, S Russell Proceedings of the 26th International Joint Conference on Artificial …, 2017	84	2017
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	80	2021
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	74	2024
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	74*	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	67	2019
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
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	65	2020
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	61*	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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