Reinforcement Learning Approach for Multi-Agent Flexible Scheduling Problems.
Hongjian ZhouBoyang GuChenghao JinPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- multi agent
- scheduling problem
- function approximation
- state space
- single machine
- multi agent environments
- cooperative
- job shop scheduling
- machine learning
- job shop
- reinforcement learning algorithms
- np hard
- multi agent systems
- optimal policy
- model free
- learning agents
- markov decision processes
- state abstraction
- heterogeneous agents
- setup times
- action space
- agent oriented
- special case
- flowshop
- greedy heuristics
- multiagent systems
- traffic signal control
- reinforcement learning agents
- multiagent reinforcement learning
- neural network
- learning process
- optimal control