State Representation Learning for Goal-Conditioned Reinforcement Learning.
Lorenzo SteccanellaAnders JonssonPublished in: ECML/PKDD (4) (2022)
Keyphrases
- reinforcement learning
- learning algorithm
- learning process
- state space
- learning problems
- learning systems
- online learning
- action selection
- supervised learning
- mobile robot
- machine learning
- knowledge acquisition
- active learning
- learning tasks
- multi agent
- inductive inference
- decision trees
- continuous state
- evolutionary learning
- eligibility traces