Kernel Temporal Differences for EEG-based Reinforcement Learning Brain Machine Interfaces.
Bhoj Raj ThapaDaniel Restrepo TangarifeJihye BaePublished in: EMBC (2022)
Keyphrases
- temporal difference
- reinforcement learning
- eeg signals
- eeg data
- function approximation
- brain computer interface
- brain activity
- event related
- reinforcement learning algorithms
- functional connectivity
- model free
- evaluation function
- event related potentials
- td learning
- brain signals
- electrical activity
- policy evaluation
- monte carlo
- action selection
- function approximators
- kernel methods
- kernel function
- support vector
- human brain
- evoked potentials
- step size
- policy iteration
- supervised learning
- state space
- machine learning
- least squares
- dynamic programming
- feature space
- genetic algorithm
- temporal difference methods
- learning algorithm
- epileptic seizures
- decision making
- e learning
- policy search
- active learning
- reinforcement learning methods
- knn
- transfer learning
- markov decision processes