AI Briefing#marl
The latest AI and developer news about #marl, with the original source and a short summary.
The latest AI and developer news about #marl, with the original source and a short summary.
LG AI Research proposed the AOCC architecture, which improves the efficiency of asynchronous multi-agent reinforcement learning (MARL).
To overcome differences in observation timing among agents in asynchronous environments, an AOCC structure was proposed to improve MARL learning efficiency.
LG AI Research presented cases of applying Multi-Agent Reinforcement Learning (MARL) to solve real-world problems at AAMAS 2024.
LG AI Research presented multi-agent reinforcement learning research for autonomous driving and industrial site optimization at AAMAS 2024.
LG AI Research has developed the RAPID platform, which makes design and analysis easy, to improve the efficiency of industrial automation.
LG AI Research unveiled RAPID, a robot fleet control simulation platform developed for rapid on-site validation and research standardization.