TopoExplore: Topological Discrimination for Archive-Based Exploration

2026-07-10 · Source: Artificial Intelligence · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Expert, quick

Summary

TopoExplore is a novel archive-based exploration method that enhances Go-Explore by incorporating a periodic topological pass to discriminate between enterable and sealed unexplored regions. Unlike traditional methods that rely on visitation rarity or frontier boundaries, TopoExplore detects enclosed unexplored regions (voids) using flood fill on the visited-set occupancy grid. It then applies a decaying selection bonus exclusively to the strict entrances (gap or door cells) of these voids, ensuring sealed regions are ignored and entered regions are retired. On a controlled 18-environment MiniGrid suite, TopoExplore achieved a 1.52x geometric-mean speedup in median steps-to-first-entry compared to its Go-Explore ablation, outperforming a frontier baseline's 1.37x. It demonstrated significant gains on hard multi-interaction doors (10.9x) and maintained competitiveness in open coverage scenarios. While it showed a negative result on Montezuma's Revenge without wall knowledge, preliminary positive results on HM3D scanned buildings indicate its speedup correlates with scene difficulty (r=0.69).

Key takeaway

For robotics engineers developing autonomous exploration agents in complex, structured environments, TopoExplore offers a significant advantage. Your exploration algorithms should integrate topological discrimination to efficiently identify and prioritize truly enterable regions, avoiding wasted effort on sealed areas. Consider implementing flood fill-based void detection and entrance-specific bonuses to achieve faster first-entry times, especially in scenarios with multi-interaction doors or decoy structures. This approach can lead to more structurally complete experience collection for downstream learning.

Key insights

TopoExplore uses topological discrimination to prioritize enterable unexplored regions, significantly speeding up exploration in structured environments.

Principles

• Topological analysis identifies truly enterable regions.
• Prioritize strict entrances to unexplored voids.

Method

TopoExplore augments Go-Explore by periodically detecting enclosed unexplored regions (voids) via flood fill on the occupancy grid. It then applies a decaying selection bonus only to the strict entrances (gap or door cells) of these voids.

In practice

• Apply flood fill to detect unreachable map areas.
• Target exploration to specific "door" cells.

Topics

• Topological Exploration
• Archive-Based Exploration
• Go-Explore
• Reinforcement Learning
• MiniGrid
• HM3D

Best for: Research Scientist, AI Scientist, Robotics Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence.