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Formal Verification Based Synthesis for Behavior Trees.

, , , , , and . SETTA, volume 14464 of Lecture Notes in Computer Science, page 72-91. Springer, (2023)

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Optimizing High-dimensional Learner with Low-Dimension Action Features., , , , and . ISCID (2), page 31-34. IEEE, (2019)Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination., , , , , and . AAAI, page 11282-11289. AAAI Press, (2021)PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning., , , , , , , and . CoRR, (February 2025)Task Allocation in Heterogeneous Multi-Robot Systems Based on Preference-Driven Hedonic Game., , , and . ICRA, page 8967-8972. IEEE, (2024)MRBTP: Efficient Multi-Robot Behavior Tree Planning and Collaboration., , , , , , and . CoRR, (February 2025)Memory-based Exploration-value Evaluation Model for Visual Navigation., , , , , , and . ICRA, page 2011-2017. IEEE, (2023)Evolving Physical Instinct for Morphology and Control Co-Adaption., , , , , , and . IROS, page 6616-6623. (2023)Integrating Decision Sharing with Prediction in Decentralized Planning for Multi-Agent Coordination under Uncertainty., , , , and . IJCAI, page 450-456. ijcai.org, (2019)Fault-Tolerant and Self-Adaptive Market-Based Coordination Using Hoplites Framework for Multi-Robot Patrolling Tasks., , , , and . RCAR, page 514-519. IEEE, (2018)Coalition Formation Game Approach for Task Allocation in Heterogeneous Multi-Robot Systems under Resource Constraints., , , , and . IROS, page 3439-3446. IEEE, (2024)