Reinforcement Learning for Reconfigurable Intelligent Surfaces

Preface.- Chapter. 1. Reinforcement Learning Background.- Chapter. 2. RIS-AssistedWireless Systems.- Chapter. 3. Applications of RL for Continuous Problems in RIS-Assisted Communication Systems.- Chapter. 4. Applications of RL for Discrete Problems in RIS-Assisted Communication Systems.- Chapter. 5. Challenges and Future Work.-

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• Aprendizagem mecânica
• Tecnologia WAP (sem fios)
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reinforcement learning;deep reinforcement learning;Q-learning;deep Q-learning;wireless communication;deep deterministic policy gradient;reconfigurable intelligent surfaces;full-duplex;half-duplex;sum-rate maximization;energy efficiency maximization;resource allocation optimization.