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v1v2 (latest)

A Survey of Reinforcement Learning Techniques: Strategies, Recent Development, and Future Directions

19 January 2020
A. Mondal
    OffRL
ArXiv (abs)PDFHTML

Papers citing "A Survey of Reinforcement Learning Techniques: Strategies, Recent Development, and Future Directions"

3 / 3 papers shown
Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking
  Controllers for the Uncertain Quadrotor Systems
Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor SystemsIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2022
V. Tran
M. A. Mabrok
S. Anavatti
Matthew A. Garratt
I. Petersen
132
23
0
26 Mar 2022
Weakly Supervised Scene Text Detection using Deep Reinforcement Learning
Weakly Supervised Scene Text Detection using Deep Reinforcement Learning
Emanuel Metzenthin
Christian Bartz
Christoph Meinel
OffRL
208
2
0
13 Jan 2022
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
1.0K
94
0
17 Sep 2020
1
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