Nonstationary Reinforcement Learning with Linear Function Approximation.
Huozhi ZhouJinglin ChenLav R. VarshneyAshish JagmohanPublished in: Trans. Mach. Learn. Res. (2022)
Keyphrases
- function approximation
- non stationary
- reinforcement learning
- function approximators
- temporal difference learning algorithms
- temporal difference
- temporal difference learning
- learning tasks
- mountain car
- radial basis function
- random fields
- model free
- state space
- reinforcement learning algorithms
- learning algorithm
- td learning
- reinforcement learning problems
- genetic algorithm
- training data
- support vector
- pattern recognition
- artificial neural networks
- neural network
- markov decision processes
- dynamic programming
- least squares