A reinforcement learning approach to parameter estimation in dynamic job shop scheduling.
Jamal ShahrabiMohammad Amin AdibiMasoud MahootchiPublished in: Comput. Ind. Eng. (2017)
Keyphrases
- parameter estimation
- job shop scheduling
- reinforcement learning
- maximum likelihood
- job shop scheduling problem
- least squares
- markov random field
- model selection
- scheduling problem
- em algorithm
- random fields
- parameter estimation algorithm
- expectation maximization
- combinatorial optimization problems
- estimation problems
- state space
- model fitting
- parameter estimates
- similarity measure
- machine learning
- simulated annealing
- inductive logic programming
- dynamic programming
- resource constraints
- neural network