A warm-started iterated best response algorithm computes approximate equilibria for lexicographic preference games about 100 to 1000 times faster than the baseline MCP solver in small traffic simulations, but optimality is only measured as agreement between successive iterations.
Real-time distributed receding horizon motion planning and control for mobile multi-robot dynamic systems,
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Approximate solutions to games of ordered preference
A warm-started iterated best response algorithm computes approximate equilibria for lexicographic preference games about 100 to 1000 times faster than the baseline MCP solver in small traffic simulations, but optimality is only measured as agreement between successive iterations.