A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems.
Yongming HeGuohua WuYingwu ChenWitold PedryczPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- optimization problems
- scheduling problem
- discrete optimization
- learning algorithm
- computationally intensive
- optimization methods
- computationally expensive
- computationally efficient
- optimization scheme
- combinatorial optimization
- bayesian networks
- optimal policy
- optimization algorithm
- real world
- state space
- significant improvement
- genetic algorithm