System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy.
Hyun-Suk LeePublished in: AISTATS (2022)
Keyphrases
- meta learning
- dynamic scheduling
- optimal policy
- markov decision process
- markov decision processes
- learning tasks
- inductive learning
- flexible manufacturing systems
- model selection
- state space
- reinforcement learning
- scheduling policies
- infinite horizon
- machine learning algorithms
- process planning
- machine learning
- decision trees
- data mining
- feature selection
- base classifiers
- learning experience
- metamodel
- real time control
- grid services
- dynamic programming
- computer aided
- test data
- database
- long run
- markov chain
- asymptotically optimal
- supervised learning
- relational databases
- training data
- image segmentation
- learning algorithm
- databases