Bootstrapped Representations in Reinforcement Learning.
Charline Le LanStephen TuMark RowlandAnna HarutyunyanRishabh AgarwalMarc G. BellemareWill DabneyPublished in: ICML (2023)
Keyphrases
- reinforcement learning
- state space
- multiple representations
- reinforcement learning algorithms
- function approximation
- function approximators
- learning process
- markov decision processes
- learning problems
- robotic control
- optimal control
- supervised learning
- learning algorithm
- real world
- real time
- higher level
- symbolic representation
- model free
- information retrieval
- multi agent reinforcement learning