Learning resources and Surveys for Hierarchical Reinforcement Learning

I’ve recently been reading about Hierarchical Reinforcement Learning (HRL) and noticed that many papers rely on techniques such as state abstraction, temporal abstraction, and planning. However, I’m still relatively new to this area and finding it difficult to understand how these ideas fit together. Could anyone recommend good learning resources, tutorials, or survey papers that provide an accessible introduction to HRL and its core concepts? I only know about traditional RL and some model-based RL like Dreamer, TDMPC.