From the source
From the source
LG AI Research's Data Intelligence Lab presented two papers at AAMAS 2024 on multi-agent reinforcement learning for real-world applications: one on naphtha cracking center scheduling optimization and one on agent-oriented centralized critic for asynchronous MARL.
From the source
LG AI Research’s Data Intelligence (DI) Lab presented two papers at AAMAS 2024, “Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning” [1] and “Agent-Oriented Centralized Critic for Asynchronous Multi-Agent Reinforcement Learning” [2]
lgresearch.ai
