Distributional constrained reinforcement learning for supply chain optimization

Jaime Sabal Bermúdez, Antonio del Rio Chanona, Calvin Tsay

This work studies reinforcement learning (RL) in the context of multi-period supply chains subject to constraints, e.g., on production and inventory. We introduce Distributional Co…