An efficient and adaptive design of reinforcement learning environment to solve job shop scheduling problem with soft actor-critic algorithm

An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents

Monaci, Marta, (2024)

A reinforcement learning approach for the online dynamic home health care scheduling problem

Quy Ta-Dinh, (2024)

Simulated annealing with improved reheating and learning for the post enrolment course timetabling problem

Say Leng Goh, (2019)