DARL: Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning

Reinforcement Learning (RL) is a powerful technology to solve decision-making problems such as robotics control. Modern RL algorithms, i.e., Deep Q-Learning, are based on costly and resource hungry deep neural networks. This motivates us to deploy alternative models for powering RL agents on edge de...

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Vydané v:	2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) s. 1 - 9
Hlavní autori:	Chen, Hanning, Issa, Mariam, Ni, Yang, Imani, Mohsen
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 29.10.2022
Predmet:	Computational modeling Computer aided instruction Distance learning Hardware IP networks Real-time systems Technological innovation
ISSN:	1558-2434
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