Robotics & Machine Learning Daily News2024,Issue(Dec.17) :92-93.

Hong Kong University of Science and Technology Researchers Describe Research in Brain-Based Devices (Hidden Brain State-Based Internal Evaluation Using Kernel I nverse Reinforcement Learning in Brain-Machine Interfaces)

Robotics & Machine Learning Daily News2024,Issue(Dec.17) :92-93.

Hong Kong University of Science and Technology Researchers Describe Research in Brain-Based Devices (Hidden Brain State-Based Internal Evaluation Using Kernel I nverse Reinforcement Learning in Brain-Machine Interfaces)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on brain-based devices is now available. According to news originatingfrom Hong Kong University of Scienc e and Technology by NewsRx correspondents, research stated,“Reinforcement learn ing (RL)-based brain machine interfaces (BMIs) assist paralyzed people in controlling neural prostheses without the need for real limb movement as supervised si gnals. The design ofreward signal significantly impacts the learning efficiency of the RL-based decoders.”

Key words

Hong Kong University of Science and Tech nology/Brain-machine Interface/Emerging Technologies/Machine Learning/Reinfo rcement Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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