Distributional reinforcement learning with linear function approximation.
Marc G. BellemareNicolas Le RouxPablo Samuel CastroSubhodeep MoitraPublished in: CoRR (2019)
Keyphrases
- function approximation
- reinforcement learning
- function approximators
- temporal difference learning algorithms
- temporal difference
- temporal difference learning
- mountain car
- tile coding
- model free
- state action space
- radial basis function
- learning tasks
- state space
- learning algorithm
- reinforcement learning algorithms
- temporal difference methods
- learning process
- machine learning
- optimal policy
- td learning
- markov decision processes
- supervised learning
- artificial neural networks
- neural network