Explainable Causal Reinforcement Learning for circular manufacturing supply chains for low-power autonomous deployments

The author delves into the intersection of causal inference and reinforcement learning for optimizing circular manufacturing supply chains. This approach aims to develop more robust and explainable RL agents for low-power autonomous deployments.