MemOReL
Author:
Affiliation:
1. Technische Universität Dresden, Dresden, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3453688.3461533
Reference16 articles.
1. A. R. Baranwal S. Ullah S. S. Sahoo and A. Kumar. 2020. ReLAccS: A Multi-level Approach to Accelerator Design for Reinforcement Learning on FPGA-based Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2020) 1--1. https://doi.org/10.1109/TCAD.2020.3028350 A. R. Baranwal S. Ullah S. S. Sahoo and A. Kumar. 2020. ReLAccS: A Multi-level Approach to Accelerator Design for Reinforcement Learning on FPGA-based Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2020) 1--1. https://doi.org/10.1109/TCAD.2020.3028350
2. Context-Aware Intelligence in Resource-Constrained IoT Nodes: Opportunities and Challenges
3. Reinforcement Learning-Based Inter- and Intra-Application Thermal Optimization for Lifetime Improvement of Multicore Systems
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1. A RISC-V Hardware Accelerator for Q-Learning Algorithm;Lecture Notes in Electrical Engineering;2024
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3. “MR Q-Learning” Algorithm for Efficient Hardware Implementations;2021 55th Asilomar Conference on Signals, Systems, and Computers;2021-10-31
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