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GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning.

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Efficient power management circuit for RF energy harvesting with 74.27% efficiency at 623nW available power., , , and . NEWCAS, page 1-4. IEEE, (2016)A Saddle-Point Dynamical System Approach for Robust Deep Learning., , , , , and . CoRR, (2019)Statistical Mechanics-Inspired Modeling of Heterogeneous Packet Transmission in Communication Networks., , , , and . IEEE Trans. Syst. Man Cybern. Part B, 42 (4): 1083-1094 (2012)Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks., , , , , and . CoRR, (2014)Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns., , , , and . FE@NIPS, volume 44 of JMLR Workshop and Conference Proceedings, page 213-225. JMLR.org, (2015)Topology control in mobile sensor networks using information space feedback., , and . ACC, page 6405-6410. IEEE, (2016)Optimal design flow of CMOS doubler-based rectifiers., , , and . VDAT, page 1-6. IEEE, (2016)WHISPER: Wireless Home Identification and Sensing Platform for Energy Reduction., , , , , , , , , and 1 other author(s). J. Sens. Actuator Networks, 10 (4): 71 (2021)Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents., , , and . CoRR, (2020)Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning., , , , and . CoRR, (2018)