Anca D Dragan

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Pieter AbbeelUC Berkeley | CovariantEmail yang diverifikasi di cs.berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyEmail yang diverifikasi di cs.berkeley.edu
Sergey LevineUC Berkeley, Physical IntelligenceEmail yang diverifikasi di eecs.berkeley.edu
Dylan Hadfield-MenellMassachusetts Institute of TechnologyEmail yang diverifikasi di csail.mit.edu
Andrea BajcsyAssistant Professor at Carnegie Mellon UniversityEmail yang diverifikasi di andrew.cmu.edu
Shankar SastryUniversity of CaliforniaEmail yang diverifikasi di berkeley.edu
Siddharth ReddyEmail yang diverifikasi di siddharth.io
Claire TomlinUC BerkeleyEmail yang diverifikasi di berkeley.edu
Smitha MilliMeta FAIREmail yang diverifikasi di meta.com
Dorsa SadighStanford UniversityEmail yang diverifikasi di cs.stanford.edu
Rohin ShahResearch Scientist, Google DeepMindEmail yang diverifikasi di deepmind.com
Sanjit A. SeshiaProfessor of EECS, University of California, BerkeleyEmail yang diverifikasi di eecs.berkeley.edu
Andreea BobuAssistant Professor at the Massachusetts Institute of TechnologyEmail yang diverifikasi di mit.edu
Ken GoldbergProfessor, UC Berkeley and UCSFEmail yang diverifikasi di berkeley.edu
Sandy H HuangResearch Scientist, DeepMindEmail yang diverifikasi di berkeley.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityEmail yang diverifikasi di princeton.edu
Kush BhatiaGoogle DeepmindEmail yang diverifikasi di berkeley.edu
Jodi ForlizziProfessor, HCI and School of DesignEmail yang diverifikasi di cs.cmu.edu
Nathan RatliffNVIDIAEmail yang diverifikasi di nvidia.com
J. Andrew BagnellCarnegie Mellon UniversityEmail yang diverifikasi di ri.cmu.edu

Ikuti

Anca D Dragan

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

Email yang diverifikasi di berkeley.edu - Beranda

AI Alignment Human-AI Collaboration Robotics Machine Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	1031	2024
Legibility and predictability of robot motion AD Dragan, KCT Lee, SS Srinivasa 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2013	899	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	873	2013
Cooperative Inverse Reinforcement Learning D Hadfield-Menell, A Dragan, P Abbeel, S Russell Neural Information Processing Systems (NIPS), 2016	848	2016
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	643	2016
Inverse reward design D Hadfield-Menell, S Milli, P Abbeel, SJ Russell, A Dragan Advances in neural information processing systems 30, 2017	513	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	463	2019
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	449	2023
A policy-blending formalism for shared control AD Dragan, SS Srinivasa The International Journal of Robotics Research 32 (7), 790-805, 2013	447	2013
Active preference-based learning of reward functions D Sadigh, AD Dragan, S Sastry, S Seshia RSS, 2017	432	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	412	2015
On stochastic optimal control and reinforcement learning by approximate inference K Rawlik, M Toussaint, S Vijayakumar	382	2013
SQIL: imitation learning via regularized behavioral cloning S Reddy, AD Dragan, S Levine arXiv preprint arXiv:1905.11108 2 (5), 2019	361*	2019
Gemma 2: Improving open language models at a practical size G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ... arXiv preprint arXiv:2408.00118, 2024	354	2024
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	348	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	302	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	282	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	247	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	235	2018
Generating legible motion A Dragan, S Srinivasa Carnegie Mellon University, 2013	222	2013

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