Distributional reinforcement learning with linear function approximation.
Marc G. BellemareNicolas Le RouxPablo Samuel CastroSubhodeep MoitraPublished in: AISTATS (2019)
Keyphrases
- function approximation
- reinforcement learning
- function approximators
- temporal difference learning algorithms
- temporal difference
- mountain car
- temporal difference learning
- tile coding
- model free
- learning tasks
- radial basis function
- state action space
- markov decision processes
- machine learning
- state space
- pattern recognition
- reinforcement learning problems
- multi agent