Distributional Reinforcement Learning for Scheduling of (Bio)chemical Production Processes.
Max MowbrayDongda ZhangEhecatl Antonio del Rio-ChanonaPublished in: CoRR (2022)
Keyphrases
- production processes
- reinforcement learning
- production process
- scheduling algorithm
- scheduling problem
- co occurrence
- function approximation
- drug discovery
- temporal difference
- flexible manufacturing systems
- state space
- reinforcement learning algorithms
- markov decision processes
- resource constraints
- bio medical
- round robin
- optimal control
- production planning
- learning process
- chemical compounds
- multi agent
- chemical reactions
- machine learning
- model free
- optimal policy
- supervised learning
- dynamic programming
- multi agent systems
- robotic control