… the pairing delivery node. To solve this problem, we propose a deep reinforcement learning
… the policy network to capture and learn the precedence relation and heterogeneous roles of …

… delivery problem and its variants. We first discuss courier routing/ assignment literature and
then other delivery tasks (eg, delivery … for these problems, specifically reinforcement learning …

… In this paper, we propose a novel hierarchical reinforcement learning (RL) based optimization
framework to solve the real-world large-scale DPDPs. Considering that order dispatching …

… Moreover, the proposed methodological framework, which in this paper tackles a more
complicated type of pickup and delivery problems with time constraints from both “vehicles” (…

… Section 3 introduces the delivery and installation routing problem and the model structure.
In Section 4, we propose the designed step-wise deep reinforcement learning methods in …

… In this paper, we propose a multi-agent reinforcement learning framework to solve
cooperative pickup and delivery problems (MAPDP). We design a special paired context embedding …

… Our problem also differs from the cargo delivery problems since we do not have a prior
information about the orders. The orders’ arrival times are uncertain during the day and each …

… delivery problem and propose a hitchhiking delivery system … We proposed a reinforcement
learning algorithm to learn … An delivery time estimation module is also designed to filter the …

… to address the order dispatching problem of a Turkish ultra-fast delivery company, Getir.
Before applying off-the-shelf reinforcement learning methods, we define the specific problem at …

… problem of how to design a reasonable delivery path, this paper studies the optimization
of delivery routing based on Deep Reinforcement learning … problem of delivery routing [9-10]. …