Automatic abstraction controller in reinforcement learning agent via automata

- Reinforcement learning is a branch of machine learning in which the agent must learn through interaction with the environment.
- One of the major challenges the scaling up of reinforcement learning faces with is the well-known “curse of dimensionality” problem.
- One way to address this problem is hierarchically learning.