Multi-Agent Power and Resource Allocation for D2D Communications: A Deep Reinforcement Learning Approach

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Multi-Agent Power and Resource Allocation for D2D Communications: A Deep Reinforcement Learning Approach

Cited by 3 publications

References 9 publications

Optimal D2D Resource Allocation in Heterogeneous Cellular Networks by Decentralized Multi-Agent Deep Q-Learning

Optimal D2D Resource Allocation in Heterogeneous Cellular Networks by Decentralized Multi-Agent Deep Q-Learning

Optimization and Cognitive Radio-Assisted Access Control Scheme for D2D Communication

Multidimensional Resource Allocation in Directional Ad Hoc Networks Based on Deep Reinforcement Learning

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