Transformer Actor-Critic for Efficient Freshness-Aware Resource Allocation
基于Transformer的Actor-Critic用于高效的 freshness-aware 资源分配
专题命中 其他自动驾驶 ：autonomous driving(abstract)
AI总结 本文提出基于Transformer的Actor-Critic框架，用于高效实现 freshness-aware 资源分配，通过注意力机制提升策略性能和可扩展性。
Comments \c{opyright} 2026 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses. Accepted for publication in the 2026 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
