Policy Gradient is a policy-based reinforcement learning algorithm that approximates the optimal policy through a parametric function. The algorithm classifies the observations by softmax through ...

The Flexible Job-shop Scheduling Problem (FJSP) is an extension of the well-known job- shop problem (JSP), where each job can be completed on a machine to optimize several per- formance indicators, ...