Dimension-Independent Multi-Agent DRL for Multi-Cell Interference Mitigation
Multi-agent deep reinforcement learning (DRL) offers a promising framework for inter-cell interference mitigation in multi-cell networks. In such networks, each cell is associated with an agent that learns from its local environment to maximize a reward, such as spectral efficiency. To effectively mitigate inter-cell i...