Hidden Brain State-Based Internal Evaluation Using Kernel Inverse Reinforcement Learning in Brain-Machine Interfaces

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 32; pp. 4219 - 4229
• Main Authors: Tan, Jieyuan, Zhang, Xiang, Wu, Shenghui, Song, Zhiwei, Wang, Yiwen
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2024
• Subjects: Brain modeling; Brain-computer interfaces; Brain-machine interface (BMI); Decoding; internal evaluation; inverse reinforcement learning; Kernel; medial prefrontal cortex; Neural activity; Prosthetics; Rats; Recording; Reinforcement learning; Training

Reinforcement learning (RL)-based brain machine interfaces (BMIs) assist paralyzed people in controlling neural prostheses without the need for real limb movement as supervised signals. The design of reward signal significantly impacts the learning efficiency of the RL-based decoders. Existing rewar...