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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Veröffentlicht in:	2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) S. 1 - 9
Hauptverfasser:	Chen, Hanning, Issa, Mariam, Ni, Yang, Imani, Mohsen
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 29.10.2022
Schlagworte:	Computational modeling Computer aided instruction Distance learning Hardware IP networks Real-time systems Technological innovation
ISSN:	1558-2434
Online-Zugang:	Volltext
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