Towards safe reinforcement-learning in industrial grid-warehousing.
Per-Arne AndersenMorten GoodwinOle-Christoffer GranmoPublished in: Inf. Sci. (2020)
Keyphrases
- reinforcement learning
- optimal policy
- industrial applications
- model free
- grid computing
- reinforcement learning algorithms
- function approximation
- markov decision processes
- grid points
- machine learning
- learning algorithm
- temporal difference learning
- learning process
- data warehouse
- data warehousing
- temporal difference
- grid services
- computational grids
- quality improvement
- stochastic approximation
- real robot
- grid structure
- learning capabilities
- grid cells
- action selection
- distributed computing
- learning problems
- decision support
- data management
- state space
- dynamic programming
- multi agent
- case study
- information systems