Building on the idea of placing an agent into an environment and letting it figure out how to act optimally, not all systems consist of one agent. Sometimes it is necessary to place multiple agents in ...

Multi-agent reinforcement learning (MARL) algorithms play an essential role in solving complex decision-making tasks by learning from the interaction data between computerized agents and ...

Deep Reinforcement Learning-based Multi-Objective Scheduling for Distributed Heterogeneous Hybrid Flow Shops with Blocking Constraints Article Publication Date 20-Dec-2024 ...