Model-Free Adaptive Optimal Control of Sequential Manufacturing Processes using Reinforcement Learning.
Johannes DornheimNorbert LinkPeter GumbschPublished in: CoRR (2018)
Keyphrases
- optimal control
- model free
- reinforcement learning
- manufacturing processes
- rl algorithms
- risk sensitive
- control problems
- function approximation
- manufacturing systems
- reinforcement learning algorithms
- feedback control
- policy iteration
- dynamic programming
- temporal difference
- adaptive control
- state space
- actor critic
- optimal control problems
- impedance control
- product quality
- infinite horizon
- optimal policy
- learning algorithm
- multi agent
- machine learning
- policy evaluation
- control law
- quality control
- control strategy
- average cost
- learning problems
- rapid prototyping
- markov decision processes
- policy gradient
- real time
- neural network
- case study
- temporal difference learning
- average reward
- supervised learning
- markov decision process