Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces.
Xiang ZhangJosé C. PríncipeYiwen WangPublished in: EMBC (2018)
Keyphrases
- reinforcement learning
- computational neuroscience
- sensory inputs
- fitted q iteration
- biologically plausible
- kernel function
- adaptation process
- basal ganglia
- functional connectivity
- network architecture
- neural model
- neural network
- kernel based learning
- human brain
- spike trains
- action selection
- kernel methods
- function approximation
- neural mechanisms
- event related potentials
- feature space
- reinforcement learning algorithms
- kernel matrix
- biologically inspired
- optimal policy
- learning capabilities
- state space
- model free
- markov decision processes
- multi agent
- sensory motor
- temporal difference
- supervised learning
- kernel machines
- primary visual cortex
- multiple kernel learning
- motor control
- function approximators
- flowshop
- learning problems
- learning process
- support vector
- feature extraction