A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces.
Omar Darwiche DominguesPierre MénardMatteo PirottaEmilie KaufmannMichal ValkoPublished in: AISTATS (2021)
Keyphrases
- non stationary
- metric space
- reinforcement learning
- similarity search
- distance function
- range queries
- searching in metric spaces
- similarity queries
- high dimensional
- adaptive algorithms
- kernel function
- multidimensional index
- probability measures
- learning algorithm
- machine learning
- point sets
- feature space
- partially ordered sets
- dimensional vector
- state space
- random fields
- access methods
- autoregressive
- decision trees
- kernel methods
- hilbert space
- data sets
- image sequences
- markov chain