Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces.
Motoya OhnishiMasahiro YukawaMikael JohanssonMasashi SugiyamaPublished in: CoRR (2018)
Keyphrases
- reproducing kernel hilbert space
- state space
- reproducing kernel
- kernel methods
- loss function
- kernel function
- gaussian kernels
- uniform convergence
- basis functions
- special case
- learning theory
- euclidean space
- density estimation
- domain adaptation
- gaussian process
- representer theorem
- data dependent
- distance measure
- real valued
- covering numbers
- input space
- learning problems
- kernel matrix
- metric learning
- linear model
- stochastic processes
- support vector machine
- machine learning
- support vector
- reinforcement learning