首页|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)
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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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.”
Hong Kong University of Science and Tech nologyBrain-machine InterfaceEmerging TechnologiesMachine LearningReinfo rcement Learning
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