Going Beyond State-Reaching: Learning Abstractions for Intrinsically Motivated Option Discovery.

arXiv:2609.36473v1 Announce Type: new Abstract: Temporal abstraction via options can improve exploration in large environments. However, existing option discovery algorithms find subgoals that target all aspects of the state simultaneously. This state-reaching