An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint Programming.
Pierre TasselMartin GebserKonstantin SchekotihinPublished in: CoRR (2023)
Keyphrases
- end to end
- constraint programming
- job shop scheduling problem
- reinforcement learning
- job shop scheduling
- particle swarm algorithm
- combinatorial problems
- constraint satisfaction problems
- tabu search
- benchmark problems
- scheduling problem
- constraint satisfaction
- simulated annealing
- constraint propagation
- memetic algorithm
- genetic algorithm
- combinatorial optimization problems
- global constraints
- congestion control
- search strategies
- state space
- hard and soft constraints
- finite domain
- particle swarm
- graph model
- genetic programming
- constraint solving
- optimal policy
- dynamic programming
- evolutionary computation