A two-time-scale approximate MDP scheduler for vehicular task offloading combines deterministic average-trajectory pre-allocation with online value-function improvement, claiming a provable cost bound and large simulated gains.
Com- putation Offloading in Heterogeneous Vehicular Edge Networks: On- Line and Off-Policy Bandit Solutions,
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A Dynamic Programming Framework for Vehicular Task Offloading with Successive Action Improvement
A two-time-scale approximate MDP scheduler for vehicular task offloading combines deterministic average-trajectory pre-allocation with online value-function improvement, claiming a provable cost bound and large simulated gains.