Deep Reinforcement Learning for Minimizing Tardiness in Parallel Machine Scheduling With Sequence Dependent Family Setups.
Bohyung PaengIn-Beom ParkJonghun ParkPublished in: IEEE Access (2021)
Keyphrases
- reinforcement learning
- processing times
- number of tardy jobs
- hidden state
- single machine scheduling problem
- single machine
- learning algorithm
- function approximation
- special case
- hidden markov models
- state space
- model free
- reinforcement learning algorithms
- multi agent
- setup times
- optimal policy
- data sets
- learning process
- action selection
- minimize total
- neural network