Carbon trading supply chain management based on constrained deep reinforcement learning

Q Wang, Y Yang - Autonomous Agents and Multi-Agent Systems, 2024 - Springer
The issue of carbon emissions is a critical global concern, and how to effectively reduce
energy consumption and emissions is a challenge faced by the industrial sector, which is …

A General-Purpose Deep Reinforcement Learning Approach for Dynamic Inventory Control

MJ Maichle, N Stein, R Pibernik… - Available at SSRN …, 2024 - papers.ssrn.com
Solving real-world inventory problems poses many challenges, including the estimation of
uncertain parameters (eg demand), dealing with their dynamic nature that often results in …