Katherine Rose Driggs-Campbell

20122019
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Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

User interfaces Engineering & Materials Science
Automation Engineering & Materials Science
Reinforcement learning Engineering & Materials Science
Decision making Engineering & Materials Science
Hybrid sensors Engineering & Materials Science
Sensors Engineering & Materials Science
Monitoring Engineering & Materials Science
Reachability Analysis Mathematics

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Research Output 2012 2019

  • 14 Conference contribution
  • 4 Article
  • 3 Paper
  • 1 Conference article

HG-DAgger: Interactive imitation learning with human experts

Kelly, M., Sidrane, C., Driggs-Campbell, K. R. & Kochenderfer, M. J., May 2019, 2019 International Conference on Robotics and Automation, ICRA 2019. Institute of Electrical and Electronics Engineers Inc., p. 8077-8083 7 p. 8793698. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cloning
Labels
Actuators
Sampling
Uncertainty

Monte-Carlo tree search for policy optimization

Ma, X., Driggs-Campbell, K., Zhang, Z. & Kochenderfer, M. J., Jan 1 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 3116-3122 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Trees (mathematics)
Reinforcement learning
Genetic algorithms
Monte Carlo methods

Simulating emergent properties of human driving behavior using multi-agent reward augmented imitation learning

Bhattacharyya, R. P., Phillips, D. J., Liu, C., Gupta, J. K., Driggs-Campbell, K. & Kochenderfer, M. J., May 2019, 2019 International Conference on Robotics and Automation, ICRA 2019. Institute of Electrical and Electronics Engineers Inc., p. 789-795 7 p. 8793750. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning algorithms

Affective Driver State Monitoring for Personalized, Adaptive ADAS

Govindarajan, V., Driggs-Campbell, K. R. & Bajcsy, R., Dec 7 2018, 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronics Engineers Inc., p. 1017-1022 6 p. 8569585. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; vol. 2018-November).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Monitoring
Alarm systems
Electroencephalography
Brakes
Learning algorithms

Data-driven reachability analysis for human-in-the-loop systems

Govindarajan, V., Driggs-Campbell, K. R. & Bajcsy, R., Jan 18 2018, 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. Institute of Electrical and Electronics Engineers Inc., p. 2617-2622 6 p. (2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017; vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reachability Analysis
Data-driven
Reachable Set
Hamilton-Jacobi
Prediction