Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems.
Chien-Liang LiuChuan-Chin ChangChun-Jan TsengPublished in: IEEE Access (2020)
Keyphrases
- actor critic
- reinforcement learning
- job shop scheduling problem
- temporal difference
- policy gradient
- reinforcement learning algorithms
- optimal control
- approximate dynamic programming
- gradient method
- neuro fuzzy
- combinatorial optimization
- function approximation
- benchmark problems
- scheduling problem
- model free
- combinatorial optimization problems
- memetic algorithm
- policy iteration
- learning algorithm
- tabu search
- simulated annealing
- graph model
- dynamic programming
- state space
- step size
- rl algorithms
- optimization problems
- action selection
- temporal difference learning
- reinforcement learning methods
- cost function
- genetic algorithm
- supervised learning
- average reward
- machine learning
- evaluation function
- optimal policy
- linear program
- monte carlo