Multi-NPDQ: A Multi-agent Approach Through Deep Reinforcement Learning for Operation Scheduling.
Linwei YaoQichao ChenLianghao GongKuan LiPublished in: ICIC (2) (2024)
Keyphrases
- dynamic programming
- reinforcement learning
- multi agent
- state space
- markov decision processes
- function approximation
- scheduling problem
- model free
- scheduling algorithm
- machine learning
- cooperative
- container terminal
- reinforcement learning algorithms
- single agent
- resource constraints
- learning agents
- reinforcement learning agents
- multi agent systems
- multi agent environments
- learning algorithm
- temporal difference
- supervised learning
- multiple agents
- resource allocation
- flexible manufacturing systems
- intelligent agents
- lower bound
- multi agent coordination
- robotic control