Abstract: Methods, systems, and computer programs are presented for scheduling resources used for package delivery. One method includes an operation for initializing a reinforcement learning (RL) agent that calculates staff requirements for performing jobs, each job including a delivery of a package to a respective location. The method further includes training the RL agent by performing a set of iterations. Each iteration includes operations for accessing job data, the job data including jobs for delivery, coordinates for the deliveries, and deadlines for the deliveries; generating clusters in a map for the jobs using unsupervised learning; generating the staff requirements by the RL agent based on feature extraction from the spatial and temporal distribution of the jobs; calculating a reward for the generated staff requirements; and modifying the RL agent using reinforcement learning based on the reward. Further, the trained RL agent is utilized for determining staff requirements for new jobs.