On the Generalization of Representations in Reinforcement Learning.
Charline Le LanStephen TuAdam ObermanRishabh AgarwalMarc G. BellemarePublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- state space
- optimal policy
- higher level
- function approximators
- optimal control
- multi agent
- machine learning
- learning algorithm
- information retrieval
- neural network
- learning process
- dynamic programming
- supervised learning
- high level
- information systems
- transfer learning
- markov decision processes
- symbolic representation