Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning

Make long-horizon plans more reliable by separating feasible subgoals from unreachable ones.

SSE combines graph-based hierarchical planning with Frontier Experience Replay. Failure and partial-success transitions help identify unreliable subgoals, while a separate exploration policy and path refinement improve coverage and planning.