Dragan, Anca

Cooperative Inverse Reinforcement Learning

Hadfield-Menell, D., Dragan, A., Abbeel, P., & Russell, S. (2016) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 413

A policy-blending formalism for shared control

Dragan, A. D., & Srinivasa, S. S. (2013) · The International Journal of Robotics Research

Teleoperation and Haptic SystemsRobot Manipulation and Learning

Cited by 387

Managing extreme AI risks amid rapid progress

Bengio, Y., Hinton, G., Yao, A., Song, D., Abbeel, P., Darrell, T., Harari, Y. N., Zhang, Y.-Q., Xue, L., Shalev-Shwartz, S., et al. (2024) · Science

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 349

Shared Autonomy via Deep Reinforcement Learning

Reddy, S., Dragan, A., & Levine, S. (2018) · Robotics: Science and Systems XIV

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 175

On the Utility of Learning about Humans for Human-AI Coordination

Carroll, M., Shah, R., Ho, M. K., Griffiths, T. L., Seshia, S. A., Abbeel, P., & Dragan, A. (2019) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 168

Gemma 2: Improving Open Language Models at a Practical Size

Gemma Team, Riviere, M., Pathak, S., Sessa, P. G., Hardin, C., Bhupatiraju, S., Hussenot, L., Mesnard, T., Shahriari, B., Ramé, A., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 149

Inverse Reward Design

Hadfield-Menell, D., Milli, S., Abbeel, P., Russell, S., & Dragan, A. (2017) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 125

The Off-Switch Game

Hadfield-Menell, D., Dragan, A., Abbeel, P., & Russell, S. (2016) · arXiv

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 119

The Off-Switch Game

Hadfield-Menell, D., Dragan, A., Abbeel, P., & Russell, S. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 119

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Casper, S., Davies, X., Shi, C., Gilbert, T. K., Scheurer, J., Rando, J., Freedman, R., Korbak, T., Lindner, D., Freire, P., et al. (2023) · arXiv

Reinforcement Learning in RoboticsPsychiatry, Mental Health, Neuroscience

Cited by 101

Establishing Appropriate Trust via Critical States

Huang, S. H., Bhatia, K., Abbeel, P., & Dragan, A. D. (2018) · 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Social Robot Interaction and HRIHuman-Automation Interaction and Safety

Cited by 94

Perceived robot capability

Cha, E., Dragan, A. D., & Srinivasa, S. S. (2015) · 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)

Social Robot Interaction and HRIRobotics and Automated Systems

Cited by 63

Estimating and Penalizing Preference Shift in Recommender Systems

Carroll, M., Hadfield-Menell, D., Russell, S., & Dragan, A. (2021) · Fifteenth ACM Conference on Recommender Systems

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 20

Evaluating Frontier Models for Dangerous Capabilities

Phuong, M., Aitchison, M., Catt, E., Cogan, S., Kaskasoli, A., Krakovna, V., Lindner, D., Rahtz, M., Assael, Y., Hodkinson, S., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 11

Estimating and Penalizing Induced Preference Shifts in Recommender Systems

Carroll, M., Dragan, A., Russell, S., & Hadfield-Menell, D. (2022) · arXiv

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 11

AI Alignment with Changing and Influenceable Reward Functions

Carroll, M., Foote, D., Siththaranjan, A., Russell, S., & Dragan, A. (2024) · arXiv

Ethics and Social Impacts of AIReinforcement Learning in Robotics

Cited by 7

Causal Confusion and Reward Misidentification in Preference-Based Reward Learning

Tien, J., He, J. Z.-Y., Erickson, Z., Dragan, A. D., & Brown, D. S. (2022) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 6

Choice Set Misspecification in Reward Inference

Freedman, R., Shah, R., & Dragan, A. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 6

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Lieberum, T., Rajamanoharan, S., Conmy, A., Smith, L., Sonnerat, N., Varma, V., Kramár, J., Dragan, A., Shah, R., & Nanda, N. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 2

Adversaries Can Misuse Combinations of Safe Models

Jones, E., Dragan, A., & Steinhardt, J. (2024) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 1