Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems

• Dr. Yailen Martínez Jiménez

• English

• industry 4.0
• job shop scheduling
• multi-agent systems
• reinforcement learning

The emergence of Industry 4.0 allows for new approaches to solve industrial problems such as the Job Shop Scheduling Problem. It has been demonstrated that Multi-Agent Reinforcement Learning approaches are highly promising to handle complex scheduling scenarios. In this paper we propose a user friendly Multi-Agent Reinforcement Learning tool, more appealing for industry. It allows the users to interact with the learning algorithms in such a way that all the constraints in the production floor ar...