3 papers
cs.MA2026
Multi-agent rendezvous in fluid flows via reinforcement learning
Bocheng Li, Jingran Qiu, Lihao Zhao
Rendezvous is a critical task for multi-agent systems, requiring agents to coordinate to meet at an unspecified location. However, achieving this in fluid environments presents a c…
physics.flu-dyn2026
Adaptive shape control for microswimmer navigation in turbulence
Jingran Qiu, Lorenzo Piro, Luca Biferale +3
Navigation in turbulent environments is a fundamental challenge for biological and artificial microswimmers. While most existing studies focus on adapting motility or steering, the…
physics.flu-dyn2025
Short term vs. long term: optimization of microswimmer navigation on different time horizons
Navid Mousavi, Jingran Qiu, Lihao Zhao +2
We use reinforcement learning to find strategies that allow microswimmers in turbulence to avoid regions of large strain. This question is motivated by the hypothesis that swimming…