matteobutano/mfg_ergodic_intruder

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Python
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Apache License 2.0
Created over 1 year ago
Updated 4 months ago

matteobutano/mfg_ergodic_intruder

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Where we solve the NLS version of a Mean-Field Game simulating the passage of a cylindrical intruder through a static dense crowd.

optimal_crowds

Use optimal control theory to simulate the dynamics of crowds. Set up a room, initialise agents and their targets. The solution of a Hamilton-Jacobi-Bellman equation provides the optimal trajectories towards the goals, while the actual motion is simulated using an accurate social force model.

backward_forward_solver

We use MATLAB to solve a backward-forward system of coupled Mean-Field Games Differential equations.

mfg_pinns