Alexander Gerhard Schwing

20072019
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Research Output 2007 2019

Accelerating distributed reinforcement learning with in-switch computing

Li, Y., Liu, I. J., Yuan, Y., Chen, D., Schwing, A. & Huang, J., Jun 22 2019, ISCA 2019 - Proceedings of the 2019 46th International Symposium on Computer Architecture. Institute of Electrical and Electronics Engineers Inc., p. 279-291 13 p. (Proceedings - International Symposium on Computer Architecture).

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

Reinforcement learning
Agglomeration
Switches
Scalability
Packet networks

Distributed Estimation via Opinion Dynamics

Sevuktekin, N. C., Schwing, A. G. & Singer, A. C., Aug 2019, 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems, MWSCAS 2019. Institute of Electrical and Electronics Engineers Inc., p. 476-480 5 p. 8885091. (Midwest Symposium on Circuits and Systems; vol. 2019-August).

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

Decision making
Agglomeration

FMRI data augmentation via synthesis

Zhuang, P., Schwing, A. G. & Koyejo, O., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1783-1787 5 p. 8759585. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

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

Magnetic Resonance Imaging
Brain
Neuroimaging
Convolution
Tensors

Knowledge flow: Improve upon your teachers

Liu, I. J., Peng, J. & Schwing, A. G., Jan 1 2019.

Research output: Contribution to conferencePaper

Students
teacher
Tuning
knowledge
student

Learning to play in a day: Faster deep reinforcement learning by optimality tightening

He, F. S., Liu, Y., Schwing, A. G. & Peng, J., Jan 1 2019.

Research output: Contribution to conferencePaper

Reinforcement learning
reinforcement
Constrained optimization
learning
reward