Simulation-Based Deep Reinforcement Learning For Modular Production Systems.
Niclas FeldkampSören BergmannSteffen StrassburgerPublished in: WSC (2020)
Keyphrases
- production system
- reinforcement learning
- multistage
- function approximation
- certainty factor
- production process
- reinforcement learning algorithms
- state space
- markov decision
- robotic control
- markov decision processes
- production rules
- expert systems
- multiprocessor architecture
- control structure
- optimal policy
- multi agent
- model free
- deep learning
- modular structure
- transfer learning
- scheduling problem
- dynamic programming
- material handling
- scheduling jobs
- learning process
- lot streaming
- knowledge base
- learning algorithm