The paper proposes a temperature-parameterized entropy model for parking occupancy and a dynamic-programming policy (TIPP) that outperforms two simple policies in a simulated garage.
Deep reinforcement learning-based long-range autonomous valet park- ing for smart cities,
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Entropy-Based Dynamic Programming for Efficient Vehicle Parking
The paper proposes a temperature-parameterized entropy model for parking occupancy and a dynamic-programming policy (TIPP) that outperforms two simple policies in a simulated garage.