Kernel Temporal Differences for Neural Decoding.
Jihye BaeLuis G. Sánchez GiraldoEric A. PohlmeyerJoseph T. FrancisJustin C. SanchezJosé C. PríncipePublished in: Comput. Intell. Neurosci. (2015)
Keyphrases
- temporal difference
- reinforcement learning
- evaluation function
- function approximation
- td learning
- monte carlo
- network architecture
- model free
- neural network
- kernel function
- step size
- policy evaluation
- action selection
- decoding algorithm
- support vector
- reinforcement learning algorithms
- supervised learning
- feature space
- function approximators
- data sets
- multiscale
- markov decision processes
- pairwise
- policy iteration
- kernel methods