Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling.
Constantin Waubert de PuiseauChristian DörpelkusJannik PetersHasan TercanTobias MeisenPublished in: CoRR (2024)
Keyphrases
- job shop scheduling
- reinforcement learning
- job shop scheduling problem
- scheduling problem
- action selection
- combinatorial optimization problems
- partially observable domains
- training set
- function approximation
- machine learning
- markov decision processes
- resource constraints
- tabu search
- supervised learning
- learning algorithm
- memetic algorithm
- special case
- video sequences
- action space
- social networks