DARL
Hanning Chen, Mariam Issa, Yang Ni, Mohsen Imani
2022Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design14 citationsDOIOpen Access PDF
Abstract
Reinforcement Learning (RL) is a powerful technology to solve decisionmaking 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 devices. Recently, brain-inspired Hyper-Dimensional Computing (HDC) has been introduced as a promising solution for lightweight and efficient machine learning, particularly for classification.
Topics & Concepts
Reinforcement learningComputer scienceArtificial intelligenceArtificial neural networkDeep learningRoboticsDeep neural networksMachine learningRobotFerroelectric and Negative Capacitance DevicesAdvanced Memory and Neural ComputingNeural Networks and Reservoir Computing