Preprint examines risk-sensitive reinforcement learning for multi-depot vehicle routing, suggesting new decision-making strategies.
This record contains the preprint manuscript and LaTeX source files for “QR-BHDQN: Risk-Conditioned Distributional Hierarchical DQN for Multi-Depot Vehicle Routing with Time-Dependent Stochastic Travel Times.” The work studies risk-sensitive reinforcement learning for multi-depot vehicle routing under time-dependent stochastic travel times, with a focus on distributional value estimation, CVaR-based decision making, and hierarchical routing decisions. This version is a preprint prepared for academic communication and further journal revision.
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Tailai Lin (2026) studied this question.
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