<ul><li>Existing methods for deceptive path planning (DPP) do not address the problem of adversarial interventions.</li><li>A novel Markov decision process (MDP)-based model is proposed for DPP under adversarial interventions.</li><li>New value of information (VoI) objectives are developed to guide DPP policy design.</li><li>Computationally efficient methods are derived for synthesizing policies for DPP under adversarial interventions.</li></ul>

Value of Information-based Deceptive Path Planning Under Adversarial Interventions

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