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E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning.

A. Shiri, U. Kallakuri, H. Rashid, B. Prakash, N. Waytowich, T. Oates, and T. Mohsenin. ACM Trans. Design Autom. Electr. Syst., 27 (5): 45:1-45:19 (2022)

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An Improved Split-Row Threshold Decoding Algorithm for LDPC Codes.T. Mohsenin, D. Truong, and B. Baas. ICC, page 1-5. IEEE, (2009)An embedded FPGA accelerator for a stand-alone dual-mode assistive device.A. Jafari, M. Ghovanloo, and T. Mohsenin. BioCAS, page 1-4. IEEE, (2017)2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection.H. Sayadi, H. Makrani, S. Dinakarrao, T. Mohsenin, A. Sasan, S. Rafatirad, and H. Homayoun. DATE, page 728-733. IEEE, (2019)Big vs little core for energy-efficient Hadoop computing.M. Malik, K. Neshatpour, T. Mohsenin, A. Sasan, and H. Homayoun. DATE, page 1480-1485. IEEE, (2017)A many-core platform implemented for multi-channel seizure detection.J. Bisasky, D. Chandler, and T. Mohsenin. ISCAS, page 564-567. IEEE, (2012)Architecture and Evaluation of an Asynchronous Array of Simple Processors.Z. Yu, M. Meeuwsen, R. Apperson, O. Sattari, M. Lai, J. Webb, E. Work, T. Mohsenin, and B. Baas. J. Signal Process. Syst., 53 (3): 243-259 (2008)Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection.J. Turner, A. Page, T. Mohsenin, and T. Oates. CoRR, (2017)Guest Editorial Cross-Layer Designs, Methodologies, and Systems to Enable Micro AI for On-Device Intelligence.T. Mohsenin, I. Partin-Vaisband, H. Homayoun, J. Seo, and X. Zhang. IEEE J. Emerg. Sel. Topics Circuits Syst., 11 (4): 527-531 (2021)A Hardware Accelerator for Language-Guided Reinforcement Learning.A. Shiri, A. Mazumder, B. Prakash, H. Homayoun, N. Waytowich, and T. Mohsenin. IEEE Des. Test, 39 (3): 37-44 (2022)Cyclic Sparsely Connected Architectures for Compact Deep Convolutional Neural Networks.M. Hosseini, N. Manjunath, B. Prakash, A. Mazumder, V. Chandrareddy, H. Homayoun, and T. Mohsenin. IEEE Trans. Very Large Scale Integr. Syst., 29 (10): 1757-1770 (2021)

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E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning.

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E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning.