#optimal-stopping

#optimal-stopping

Fictitious play can be efficiently used to find mixed strategy equilibrium in Optimal Stopping Mean Field Games. [ more ]

The semi-implicit finite difference algorithm demonstrates effective convergence for optimal stopping mean field games through numerical experiments. [ more ]

Agents in the local OSMFG model exhibit complex behaviors where attraction to certain states competes with a tendency to avoid crowding, complicating equilibrium dynamics. [ more ]

The article discusses a convergence analysis of algorithms for optimal stopping problems in mean field games, focusing on discretized solutions. [ more ]

Mixed strategy equilibria enhance flexibility in Mean Field Games with Optimal Stopping by allowing agents to randomize strategies. [ more ]

Mean Field Games (MFG) with Optimal Stopping focus on strategic decision-making among many agents influenced by the crowd's average behavior. [ more ]