Anca D Dragan

Citirano

	Sve	Od 2019.
Citati	17414	14724
H-indeks	64	59
i10-indeks	155	150

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Pieter AbbeelUC Berkeley | CovariantPotvrđena adresa e-pošte na cs.berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyPotvrđena adresa e-pošte na cs.berkeley.edu
Sergey LevineUC Berkeley, Physical IntelligencePotvrđena adresa e-pošte na eecs.berkeley.edu
Dylan Hadfield-MenellMassachusetts Institute of TechnologyPotvrđena adresa e-pošte na csail.mit.edu
Andrea BajcsyAssistant Professor at Carnegie Mellon UniversityPotvrđena adresa e-pošte na andrew.cmu.edu
Shankar SastryUniversity of CaliforniaPotvrđena adresa e-pošte na berkeley.edu
Siddharth ReddyPotvrđena adresa e-pošte na siddharth.io
Claire TomlinUC BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Smitha MilliMeta FAIRPotvrđena adresa e-pošte na meta.com
Dorsa SadighStanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
Rohin ShahResearch Scientist, Google DeepMindPotvrđena adresa e-pošte na deepmind.com
Sanjit A. SeshiaProfessor of EECS, University of California, BerkeleyPotvrđena adresa e-pošte na eecs.berkeley.edu
Andreea BobuAssistant Professor at the Massachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Ken GoldbergProfessor, UC Berkeley and UCSFPotvrđena adresa e-pošte na berkeley.edu
Sandy H HuangResearch Scientist, DeepMindPotvrđena adresa e-pošte na berkeley.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Kush BhatiaGoogle DeepmindPotvrđena adresa e-pošte na berkeley.edu
Jodi ForlizziProfessor, HCI and School of DesignPotvrđena adresa e-pošte na cs.cmu.edu
Nathan RatliffNVIDIAPotvrđena adresa e-pošte na nvidia.com
J. Andrew BagnellCarnegie Mellon UniversityPotvrđena adresa e-pošte na ri.cmu.edu

Prati

Anca D Dragan

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

Potvrđena adresa e-pošte na berkeley.edu - Početna stranica

AI Alignment Human-AI Collaboration Robotics Machine Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	849	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	676	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	631	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	379	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	342	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	295	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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