A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces.
Omar Darwiche DominguesPierre MénardMatteo PirottaEmilie KaufmannMichal ValkoPublished in: CoRR (2020)
Keyphrases
- non stationary
- metric space
- reinforcement learning
- similarity search
- high dimensional
- distance function
- similarity queries
- searching in metric spaces
- range queries
- autoregressive
- kernel function
- probability measures
- random fields
- point sets
- multidimensional index
- vector space
- nearest neighbor
- partially ordered sets
- feature space
- kernel methods
- learning algorithm
- adaptive algorithms
- access methods
- empirical mode decomposition
- change point detection
- similarity join
- decision trees
- dimensional vector
- image sequences
- reproducing kernel hilbert space
- multiresolution
- databases