# Time Series Forecasting
1 post
Teaching a Machine to Stock ATMs: Deep Reinforcement Learning for Cash Demand Forecasting
12 min read Quant Research
A PhD course project applying the Deep Deterministic Policy Gradient (DDPG) algorithm to ATM cash demand forecasting. The problem is framed as a continuous Markov Decision Process, evaluated against industry benchmarks on the 111-ATM NN5 dataset.
Reinforcement LearningDeep LearningTime Series ForecastingDDPGActor-Critic