mean-field-games

There are 0 repository under mean-field-games topic.

• radar-research-lab / MFGLib

  A library for mean-field games.

  algorithmsgame-theorymean-field-gamesstochastic-games
  Language:Python 36

• berberto / cooperative_search

  Mean-field solution for cooperative search games -- diffusive agents with costs on control, time and collisions.

  optimal-controlcooperative-gamemean-field-games
  Language:C 3

• CesarBarilla / MFG-Cities_Code

  Code for "A MFG Model for the Dynamics of Cities" (Barilla, Carlier, Lasry 2021)

  mfgoptimal-transportmean-field-gamessinkhornsinkhorn-algorithm
  Language:M 3

• ManifoldFR / entropic-mfg

  Library for solving variational mean-field games using optimal transport and the Sinkhorn algorithm

  optimal-transportsinkhorngame-theory-algorithmsmean-field-games
  Language:C++ 3
• optimal_crowds

  matteobutano / 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.

  agent-based-modelmean-field-gamespedestrian-dynamicssimulationopen-source
  Language:Python 3

• Whalefishin / MFG_NF

  A framework for solving high-dimensional mean field games (MFG) with normalizing flows (NF) and regularizing NFs with MFG transport costs.

  mean-field-games
  Language:Python 1

• damat-le / damat-le.github.io

  Personal website of Leo D'Amato

  aimachine-learningpythonmultiagent-systemsactive-inferencemean-field-games
  Language:HTML 0

• matteobutano / neural_MFG

  We use Deep Galerking Method (DGM) to solve the Non-Linear Schrödinger Formulation (NLSF) of a Mean-Field Game describing the passage of a cylindrical intruder through a dense crowd.

  deep-galerkin-methodmean-field-gamesneural-networkspedestrian-dynamics
  Language:Python 0