EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks.
Htoo Wai AungJiao Jiao LiYang AnSteven W. SuPublished in: CoRR (2024)
Keyphrases
- motor imagery
- reinforcement learning
- eeg signals
- neural network
- eeg data
- pattern recognition
- sleep stage
- brain computer interface
- function approximation
- signal processing
- reinforcement learning algorithms
- state space
- machine learning
- learning classifier systems
- supervised learning
- support vector
- optimal policy
- pattern classification
- function approximators
- action selection
- rule extraction
- learning capabilities
- model free
- artificial neural networks
- decision trees
- classification accuracy
- brain activity
- learning agents
- spectral features
- partially observable domains
- learning algorithm
- learning process
- transfer learning
- policy iteration
- learning agent
- temporal difference
- active learning
- training process
- learning tasks
- feature selection
- single trial
- support vector machine