Neural networks trained on open-loop data can approximate feedback strategies for a specific surveillance-evasion game, with analysis of sample-and-hold effects due to strategy discontinuities.
Strategy Synthesis for Surveillance-Evasion Games with Learning-Enabled Visibility Optimization , year =
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From open-loop representations to closed-loop feedback implementations in differential games: A numerical case study
Neural networks trained on open-loop data can approximate feedback strategies for a specific surveillance-evasion game, with analysis of sample-and-hold effects due to strategy discontinuities.