math.OC · 2026-07-14 · No. 53

Optimization and Control, 2026-07-14.

2 new papers in math.OC. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    Inter-Stop Energy Prediction and Causal Driver Quantification for Dual-Source Trolleybuses via a Time-Aware Tabular Deep Learning Architecture

    Wentao Zeng, Zijian Huang, Yiming Bie, Jiabin Wu, Jun Gong

    math.OC · cs.LG

    Dual-source trolleybuses alternate between overhead catenary supply and on-board battery operation, creating energy-use patterns driven by route attributes, high-frequency trajectories, and hourly weather. Existing models struggle to represent these heterogeneous inputs and rarely explain the causal drivers of consumption. This paper proposes a time-aware tabular deep learning framework for inter-stop energy management. Periodic time encoding...

    arxiv.org/abs/2607.11349 · PDF

  2. 02

    Actor-Critic Learning for Extended Mean Field Control with Deterministic Policies

    Ziheng Cheng, Xin Guo, Huyên Pham, Yufei Zhang

    math.OC · cs.AI · cs.LG · stat.ML

    This paper develops a model-free reinforcement learning framework for continuous--time extended mean field control problems, where both the dynamics and reward may depend on the joint distribution of states and controls. We adopt deterministic feedback policies, under which the state--action distribution is induced directly as a push--forward of the state law. This avoids optimization over stochastic kernels and bypasses key limitations of...

    arxiv.org/abs/2607.11005 · PDF

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