Tag: multi-agent reinforcement learning
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Overcoming Suboptimal Stable Points in Multi-Agent RL
Discover how Multi-Round Value Factorization (MRVF) improves convergence in multi-agent reinforcement learning by addressing suboptimal stable points.
CSI-Free Hierarchical MARL for Reconfigurable Reflectors
Discover CSI-free Hierarchical MARL to optimize reconfigurable reflectors, boosting wireless network performance without costly channel estimation.
MARL Spatial Control for Reflector Arrays Without CSI Bottleneck
Discover how MARL-driven spatial control bypasses CSI bottlenecks, enhancing reflector arrays for smarter, adaptive wireless networks with AI-driven soluti...
Safe Decentralized EV Virtual Power Plant Using TL-MAPPO
Optimize EV virtual power plants with TL-MAPPO for safe, decentralized operation under limited network visibility, reducing voltage violations and costs.
Optimizing Communication Delay in Multi-Agent Reinforcement Learning
Explore how decomposing communication gain and delay cost improves coordination in cooperative multi-agent reinforcement learning under delays.