A receding-horizon planner uses Boltzmann distributions over short trajectories to generate tunable deceptive paths for multiple agents.
The CADETOPATH Framework: Case-Based Deceptive Topographic Path Planning for Computing, Recording, and Reusing Deceptive Path Plans in Agent-Based Simulation Systems,
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Receding Horizon Multi-Agent Deceptive Path Planner
A receding-horizon planner uses Boltzmann distributions over short trajectories to generate tunable deceptive paths for multiple agents.