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Found 2 papers, 1 papers with code
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method
How to coordinate the communication among intersections effectively in real complex traffic scenarios with multi-intersection is challenging.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Fluid forces and vortex patterns of an oscillating cylinder pair in still water with both side-by-side and tandem configurations
In order to reveal the detailed flow physics that result in significant fluid forces alternations, the detailed flow visualization is provided by the numerical simulation: the small gap between two cylinders in a side-by-side configuration will result in a strong gap jet that enhances the energy dissipation and increase the drag, while due to the flow blocking effect for two cylinders in a tandem configuration, the drag coefficient decreases.
Fluid Dynamics
