Optimism in Reinforcement Learning with Generalized Linear Function Approximation.
Yining WangRuosong WangSimon S. DuAkshay KrishnamurthyPublished in: CoRR (2019)
Keyphrases
- function approximation
- generalized linear
- reinforcement learning
- regression model
- discriminant analysis
- temporal difference
- function approximators
- temporal difference learning
- model free
- learning tasks
- autoregressive
- td learning
- radial basis function
- learning algorithm
- reinforcement learning algorithms
- state space
- nearest neighbor
- policy evaluation
- high dimensional
- support vector machine svm
- exponential family
- dynamic programming
- computer vision