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Anca D Dragan
Anca D Dragan
Assistant Professor at UC Berkeley // Director, AI Safety and Alignment, Google DeepMind
Bestätigte E-Mail-Adresse bei berkeley.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Legibility and predictability of robot motion
AD Dragan, KCT Lee, SS Srinivasa
2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2013
8802013
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
8482013
Cooperative Inverse Reinforcement Learning
D Hadfield-Menell, A Dragan, P Abbeel, S Russell
Neural Information Processing Systems (NIPS), 2016
8152016
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
6302016
Inverse reward design
D Hadfield-Menell, S Milli, P Abbeel, SJ Russell, A Dragan
Advances in neural information processing systems 30, 2017
4852017
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
4372019
A policy-blending formalism for shared control
AD Dragan, SS Srinivasa
The International Journal of Robotics Research 32 (7), 790-805, 2013
4352013
Active preference-based learning of reward functions
D Sadigh, AD Dragan, S Sastry, S Seshia
RSS, 2017
4202017
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
4062015
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
3772023
On stochastic optimal control and reinforcement learning by approximate inference
K Rawlik, M Toussaint, S Vijayakumar
3742013
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
3412013
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
2942019
Dart: Noise injection for robust imitation learning
M Laskey, J Lee, R Fox, A Dragan, K Goldberg
Conference on robot learning, 143-156, 2017
2722017
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
2432016
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
2302018
Generating legible motion
A Dragan, S Srinivasa
Carnegie Mellon University, 2013
2212013
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
2112017
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