On the Generalization of Representations in Reinforcement Learning.
Charline Le LanStephen TuAdam ObermanRishabh AgarwalMarc G. BellemarePublished in: AISTATS (2022)
Keyphrases
- learning tasks
- function approximation
- reinforcement learning
- function approximators
- learning algorithm
- learning machines
- machine learning
- supervised learning
- temporal difference learning
- dynamic programming
- multi agent
- case study
- reinforcement learning algorithms
- real time
- multiple representations
- distributed representations
- representation scheme
- external representations
- optimal control
- state space
- control system
- learning process
- search algorithm
- clustering algorithm
- feature selection