| 1 |
An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models |
综述：基于机器学习的RIS辅助6G网络优化，探索强化学习与大语言模型结合 |
reinforcement learning offline reinforcement learning large language model |
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| 2 |
Safe Exploration Using Bayesian World Models and Log-Barrier Optimization |
提出CERL算法，利用贝叶斯世界模型和对数障碍优化实现强化学习安全探索。 |
reinforcement learning world model |
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| 3 |
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks |
综述深度神经网络高效安全部署：算法、硬件加速与安全 |
distillation OMOMO |
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