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cs.RO2026
Dec-MARVEL: Decentralized Multi-Agent Exploration without Communication under Budget Constraints
Janghyun Cho, Jimmy Chiun, Guillaume Sartoretti +1
Multi-UAV exploration is often constrained by unreliable communication, limited field-of-view sensing (e.g., lightweight onboard camera), and finite travel budgets that require eac…
cs.RO2026
ORION: Option-Regularized Deep Reinforcement Learning for Cooperative Multi-Agent Online Navigation
Shizhe Zhang, Jingsong Liang, Zhitao Zhou +6
Existing methods for multi-agent navigation typically assume fully known environments, offering limited support for partially known scenarios with outdated or imperfect prior maps,…