Cumulative Prospect Theory applied to pursuit-evasion games shows irrational risk perceptions can make previously impossible captures achievable and alter Nash equilibria.
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Relearn LQR combines recursive least squares with policy gradient for on-policy data-driven LQR and proves stability of the full scheme via Lyapunov analysis with averaging and timescale separation.
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Prospect Theoretic Approach to Pursuit-evasion Differential Games with Risk Aversion and Probability Sensitivity
Cumulative Prospect Theory applied to pursuit-evasion games shows irrational risk perceptions can make previously impossible captures achievable and alter Nash equilibria.
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Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient
Relearn LQR combines recursive least squares with policy gradient for on-policy data-driven LQR and proves stability of the full scheme via Lyapunov analysis with averaging and timescale separation.