Less is More: Robust Zero-Communication 3D Pursuit-Evasion via Representational Parsimony

• URL: http://arxiv.org/abs/2603.08273v1
• Date: Mon, 09 Mar 2026 11:44:04 GMT
• Title: Less is More: Robust Zero-Communication 3D Pursuit-Evasion via Representational Parsimony
• Abstract summary: Asymmetric 3D pursuit-evasion in cluttered voxel environments is difficult under communication latency, partial observability, and nonholonomic maneuver limits.<n>We build on an inherited path-guided decentralized pursuit scaffold to improve communication-free coordination.<n>We show that explicitly severing redundant cross-agent channels can suppress compounding error cascades and improve robustness in latency-prone deployment.
• Score: 7.6658082440595186
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Asymmetric 3D pursuit-evasion in cluttered voxel environments is difficult under communication latency, partial observability, and nonholonomic maneuver limits. While many MARL methods rely on richer inter-agent coupling or centralized signals, these dependencies can become fragility sources when communication is delayed or noisy. Building on an inherited path-guided decentralized pursuit scaffold, we study a robustness-oriented question: can representational parsimony improve communication-free coordination? We instantiate this principle with (i) a parsimonious actor observation interface that removes team-coupled channels (83-D to 50-D), and (ii) Contribution-Gated Credit Assignment (CGCA), a locality-aware credit structure for communication-denied cooperation. In Stage-5 evaluation (4 pursuers vs. 1 evader), our configuration reaches 0.753 +/- 0.091 success and 0.223 +/- 0.066 collision, outperforming the 83-D FULL OBS counterpart (0.721 +/- 0.071, 0.253 +/- 0.089). It further shows graceful degradation under speed/yaw/noise/delay stress tests and resilient zero-shot transfer on urban-canyon maps (about 61% success at density 0.24). These results support a practical paradigm shift: explicitly severing redundant cross-agent channels can suppress compounding error cascades and improve robustness in latency-prone deployment.

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