Anca D Dragan

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2019
Позовавания	17396	14707
h-индекс	64	59
i10-индекс	155	150

4600

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201320142015201620172018201920202021202220232024110 183 255 368 650 974 1170 1607 2042 2298 2970 4588

Публичен достъп

Преглед на всички

77 статии

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Въз основа на изисквания при финансирането

Съавтори

Pieter AbbeelUC Berkeley | CovariantПотвърден имейл адрес: cs.berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyПотвърден имейл адрес: cs.berkeley.edu
Sergey LevineUC Berkeley, Physical IntelligenceПотвърден имейл адрес: eecs.berkeley.edu
Dylan Hadfield-MenellMassachusetts Institute of TechnologyПотвърден имейл адрес: csail.mit.edu
Andrea BajcsyAssistant Professor at Carnegie Mellon UniversityПотвърден имейл адрес: andrew.cmu.edu
Shankar SastryUniversity of CaliforniaПотвърден имейл адрес: berkeley.edu
Siddharth ReddyПотвърден имейл адрес: siddharth.io
Claire TomlinUC BerkeleyПотвърден имейл адрес: berkeley.edu
Smitha MilliMeta FAIRПотвърден имейл адрес: meta.com
Dorsa SadighStanford UniversityПотвърден имейл адрес: cs.stanford.edu
Rohin ShahResearch Scientist, Google DeepMindПотвърден имейл адрес: deepmind.com
Sanjit A. SeshiaProfessor of EECS, University of California, BerkeleyПотвърден имейл адрес: eecs.berkeley.edu
Andreea BobuAssistant Professor at the Massachusetts Institute of TechnologyПотвърден имейл адрес: mit.edu
Ken GoldbergProfessor, UC Berkeley and UCSFПотвърден имейл адрес: berkeley.edu
Sandy H HuangResearch Scientist, DeepMindПотвърден имейл адрес: berkeley.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityПотвърден имейл адрес: princeton.edu
Kush BhatiaGoogle DeepmindПотвърден имейл адрес: berkeley.edu
Jodi ForlizziProfessor, HCI and School of DesignПотвърден имейл адрес: cs.cmu.edu
Nathan RatliffNVIDIAПотвърден имейл адрес: nvidia.com
J. Andrew BagnellCarnegie Mellon UniversityПотвърден имейл адрес: ri.cmu.edu

Следене

Anca D Dragan

Assistant Professor at UC Berkeley // Director, AI Safety and Alignment, Google DeepMind

Потвърден имейл адрес: berkeley.edu - Начална страница

AI Alignment Human-AI Collaboration Robotics Machine Learning


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Legibility and predictability of robot motion AD Dragan, KCT Lee, SS Srinivasa 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2013	880	2013
CHOMP: Covariant Hamiltonian Optimization for Motion Planning M Zucker, N Ratliff, AD Dragan, M Pivtoraiko, M Klingensmith, C Dellin, ... International Journal of Robotics Research, 2013	848	2013
Cooperative Inverse Reinforcement Learning D Hadfield-Menell, A Dragan, P Abbeel, S Russell Neural Information Processing Systems (NIPS), 2016	815	2016
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024	671*	2024
Planning for autonomous cars that leverage effects on human actions. D Sadigh, S Sastry, SA Seshia, AD Dragan Robotics: Science and systems 2, 1-9, 2016	630	2016
Inverse reward design D Hadfield-Menell, S Milli, P Abbeel, SJ Russell, A Dragan Advances in neural information processing systems 30, 2017	485	2017
On the utility of learning about humans for human-ai coordination M Carroll, R Shah, MK Ho, T Griffiths, S Seshia, P Abbeel, A Dragan Advances in neural information processing systems 32, 2019	437	2019
A policy-blending formalism for shared control AD Dragan, SS Srinivasa The International Journal of Robotics Research 32 (7), 790-805, 2013	435	2013
Active preference-based learning of reward functions D Sadigh, AD Dragan, S Sastry, S Seshia RSS, 2017	420	2017
Effects of robot motion on human-robot collaboration AD Dragan, S Bauman, J Forlizzi, SS Srinivasa Proceedings of the tenth annual ACM/IEEE international conference on human …, 2015	406	2015
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, ... arXiv preprint arXiv:2307.15217, 2023	377	2023
On stochastic optimal control and reinforcement learning by approximate inference K Rawlik, M Toussaint, S Vijayakumar	374	2013
SQIL: imitation learning via regularized behavioral cloning S Reddy, AD Dragan, S Levine arXiv preprint arXiv:1905.11108 2 (5), 2019	350*	2019
Toward seamless human-robot handovers K Strabala, MK Lee, A Dragan, J Forlizzi, SS Srinivasa, M Cakmak, ... Journal of Human-Robot Interaction 2 (1), 112-132, 2013	341	2013
Hierarchical game-theoretic planning for autonomous vehicles JF Fisac, E Bronstein, E Stefansson, D Sadigh, SS Sastry, AD Dragan 2019 International conference on robotics and automation (ICRA), 9590-9596, 2019	294	2019
Dart: Noise injection for robust imitation learning M Laskey, J Lee, R Fox, A Dragan, K Goldberg Conference on robot learning, 143-156, 2017	272	2017
Information gathering actions over human internal state D Sadigh, SS Sastry, SA Seshia, A Dragan 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016	243	2016
Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state D Sadigh, N Landolfi, SS Sastry, SA Seshia, AD Dragan Autonomous Robots 42, 1405-1426, 2018	230	2018
Generating legible motion A Dragan, S Srinivasa Carnegie Mellon University, 2013	221	2013
Do you want your autonomous car to drive like you? C Basu, Q Yang, D Hungerman, M Singhal, AD Dragan Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot …, 2017	211	2017

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