Approximate Heuristic Search for Semi-Decentralized Systems
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Main Track. Pages 12-19.
https://doi.org/10.24963/ijcai.2026/2
Keywords
- Agent-based and Multi-agent Systems: Applications
- Agent-based and Multi-agent Systems: Agent communication
- Agent-based and Multi-agent Systems: Coordination and cooperation
- Agent-based and Multi-agent Systems: Multi-agent planning
- Agent-based and Multi-agent Systems: Agent-based simulation and emergence
Abstract
Achieving optimal coordination in multiagent systems involves a trade-off between intractable centralized planning and suboptimal decentralized execution. We bridge this gap by introducing Approximate Recursive Small Step-Semi-Decentralized A* (RS-SDA*), a tree search algorithm that exploits time-varying centralization during periods of available communication conditioned on the environment or joint actions. By interleaving offline planning with online search and using relaxed heuristics, RS-SDA* achieves high solution quality with reduced computational overhead. SDec-POMDP benchmark experiments show that Approximate RS-SDA* often finds near exact optimal solutions in less than 1% of the time required by exact algorithms. We show scalability in six labyrinth environments both deterministic and stochastic state transitions, and demonstrate real-world feasibility with a multi-drone search-and-rescue simulation in the DARPA Subterranean Challenge cave system.
@inproceedings{ijcai2026p2,
title = {Approximate Heuristic Search for Semi-Decentralized Systems},
author = {Al-Husseini, Mahdi and Wray, Kyle H. and Ward, Isaac R. and Kochenderfer, Mykel J.},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {12--19},
year = {2026},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2026/2},
url = {https://doi.org/10.24963/ijcai.2026/2},
}
TY - CPAPER TI - Approximate Heuristic Search for Semi-Decentralized Systems AU - Al-Husseini, Mahdi AU - Wray, Kyle H. AU - Ward, Isaac R. AU - Kochenderfer, Mykel J. T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 12 EP - 19 DO - 10.24963/ijcai.2026/2 UR - https://doi.org/10.24963/ijcai.2026/2 ER -Copied
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