Finite-time convergence and sample complexity of actor-critic multi-objective reinforcement learning

T Zhou, FNU Hairi, H Yang, J Liu, T Tong… - arXiv preprint arXiv …, 2024 - arxiv.org
Reinforcement learning with multiple, potentially conflicting objectives is pervasive in real-
world applications, while this problem remains theoretically under-explored. This paper …

Probabilistic Cache Policy Design for Cellular Networks with Stochastic Geometry Analysis

M Amidzade - 2023 - aaltodoc.aalto.fi
The annual data traffic of mobile cellular networks is growing explosively, which has led to
backhaul link congestion and latency during data reception from cellular networks. For the …