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.
reinforcement learning hierarchical reinforcement learning cluster multi-agent learning