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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 13: AAAI-21 Technical Tracks 13

Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination

February 1, 2023

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Authors

Minglong Li

Institute for Quantum Information & State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, China


Zhongxuan Cai

Institute for Quantum Information & State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, China


Wenjing Yang

Institute for Quantum Information & State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, China


Lixia Wu

Artificial Intelligence Department, Zhejiang Cainiao Supply Chain Management Co., Ltd., China


Yinghui Xu

Artificial Intelligence Department, Zhejiang Cainiao Supply Chain Management Co., Ltd., China


Ji Wang

Institute for Quantum Information & State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, China


DOI:

10.1609/aaai.v35i13.17345


Abstract:

Multi-agent coordination tends to benefit from efficient communication, where cooperation often happens based on exchanging information about what the agents intend to do, i.e. intention sharing. It becomes a key problem to model the intention by some proper abstraction. Currently, it is either too coarse such as final goals or too fined as primitive steps, which is inefficient due to the lack of modularity and semantics. In this paper, we design a novel multi-agent coordination protocol based on subgoal intentions, defined as the probability distribution over feasible subgoal sequences. The subgoal intentions encode macro-action behaviors with modularity so as to facilitate joint decision making at higher abstraction. Built over the proposed protocol, we present Dec-SGTS (Decentralized Sub-Goal Tree Search) to solve decentralized online multi-agent planning hierarchically and efficiently. Each agent runs Dec-SGTS asynchronously by iteratively performing three phases including local sub-goal tree search, local subgoal intention update and global subgoal intention sharing. We conduct the experiments on courier dispatching problem, and the results show that Dec-SGTS achieves much better reward while enjoying a significant reduction of planning time and communication cost compared with Dec-MCTS (Decentralized Monte Carlo Tree Search).

Topics: AAAI

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HOW TO CITE:

Minglong Li||Zhongxuan Cai||Wenjing Yang||Lixia Wu||Yinghui Xu||Ji Wang Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination Proceedings of the AAAI Conference on Artificial Intelligence (2021) 11282-11289.

Minglong Li||Zhongxuan Cai||Wenjing Yang||Lixia Wu||Yinghui Xu||Ji Wang Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination AAAI 2021, 11282-11289.

Minglong Li||Zhongxuan Cai||Wenjing Yang||Lixia Wu||Yinghui Xu||Ji Wang (2021). Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination. Proceedings of the AAAI Conference on Artificial Intelligence, 11282-11289.

Minglong Li||Zhongxuan Cai||Wenjing Yang||Lixia Wu||Yinghui Xu||Ji Wang. Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.11282-11289.

Minglong Li||Zhongxuan Cai||Wenjing Yang||Lixia Wu||Yinghui Xu||Ji Wang. 2021. Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination. "Proceedings of the AAAI Conference on Artificial Intelligence". 11282-11289.

Minglong Li||Zhongxuan Cai||Wenjing Yang||Lixia Wu||Yinghui Xu||Ji Wang. (2021) "Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination", Proceedings of the AAAI Conference on Artificial Intelligence, p.11282-11289

Minglong Li||Zhongxuan Cai||Wenjing Yang||Lixia Wu||Yinghui Xu||Ji Wang, "Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination", AAAI, p.11282-11289, 2021.

Minglong Li||Zhongxuan Cai||Wenjing Yang||Lixia Wu||Yinghui Xu||Ji Wang. "Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.11282-11289.

Minglong Li||Zhongxuan Cai||Wenjing Yang||Lixia Wu||Yinghui Xu||Ji Wang. "Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 11282-11289.

Minglong Li||Zhongxuan Cai||Wenjing Yang||Lixia Wu||Yinghui Xu||Ji Wang. Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination. AAAI[Internet]. 2021[cited 2023]; 11282-11289.


ISSN: 2374-3468


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