Articles with public access mandates - Anca D DraganLearn more
Available somewhere: 80
Cooperative Inverse Reinforcement Learning
D Hadfield-Menell, A Dragan, P Abbeel, S Russell
Neural Information Processing Systems (NIPS), 2016
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
Inverse reward design
D Hadfield-Menell, S Milli, P Abbeel, SJ Russell, A Dragan
Advances in neural information processing systems 30, 2017
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation
Active preference-based learning of reward functions
D Sadigh, AD Dragan, S Sastry, S Seshia
RSS, 2017
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
Dart: Noise injection for robust imitation learning
M Laskey, J Lee, R Fox, A Dragan, K Goldberg
Conference on robot learning, 143-156, 2017
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US Department of Defense
The social cost of strategic classification
S Milli, J Miller, AD Dragan, M Hardt
Proceedings of the conference on fairness, accountability, and transparency …, 2019
Mandates: US National Science Foundation
Model reconstruction from model explanations
S Milli, L Schmidt, AD Dragan, M Hardt
Proceedings of the Conference on Fairness, Accountability, and Transparency, 1-9, 2019
Mandates: US National Science Foundation
Reward-rational (implicit) choice: A unifying formalism for reward learning
HJ Jeon, S Milli, A Dragan
Advances in Neural Information Processing Systems 33, 4415-4426, 2020
Mandates: US National Science Foundation, US Department of Defense
Efficient iterative linear-quadratic approximations for nonlinear multi-player general-sum differential games
D Fridovich-Keil, E Ratner, L Peters, AD Dragan, CJ Tomlin
2020 IEEE international conference on robotics and automation (ICRA), 1475-1481, 2020
Mandates: US National Science Foundation, US Department of Defense, US National …
The off-switch game
D Hadfield-Menell, A Dragan, P Abbeel, S Russell
IJCAI, 2017
Mandates: US National Science Foundation
Enabling Robots to Communicate their Objectives
SH Huang, D Held, P Abbeel, AD Dragan
RSS, 2017
Mandates: US National Science Foundation, US Department of Defense
Learning robot objectives from physical human interaction
A Bajcsy, DP Losey, MK O’malley, AD Dragan
Conference on robot learning, 217-226, 2017
Mandates: US National Science Foundation, US Department of Defense
Automatically auditing large language models via discrete optimization
E Jones, A Dragan, A Raghunathan, J Steinhardt
International Conference on Machine Learning, 15307-15329, 2023
Mandates: US National Science Foundation
Expressing robot incapability
M Kwon, SH Huang, AD Dragan
Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot …, 2018
Mandates: US National Science Foundation, US Department of Defense
Confidence-aware motion prediction for real-time collision avoidance1
D Fridovich-Keil, A Bajcsy, JF Fisac, SL Herbert, S Wang, AD Dragan, ...
The International Journal of Robotics Research 39 (2-3), 250-265, 2020
Mandates: US National Science Foundation, US Department of Defense
Establishing appropriate trust via critical states
SH Huang, K Bhatia, P Abbeel, AD Dragan
2018 IEEE/RSJ international conference on intelligent robots and systems …, 2018
Mandates: US National Science Foundation, US Department of Defense
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