Hidden Brain State-Based Internal Evaluation Using Kernel Inverse Reinforcement Learning in Brain-Machine Interfaces
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...
Enregistré dans:
Auteurs principaux: | , , , , |
---|---|
Format: | Livre |
Publié: |
IEEE,
2024-01-01T00:00:00Z.
|
Sujets: | |
Accès en ligne: | Connect to this object online. |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Internet
Connect to this object online.3rd Floor Main Library
Cote: |
A1234.567 |
---|---|
Exemplaire 1 | Disponible |