Learning an Adaptive Forwarding Strategy for Mobile Wireless Networks: Resource Usage vs. Latency

no code implementations • 23 Jul 2022 • Victoria Manfredi, Alicia P. Wolfe, Xiaolan Zhang, Bing Wang

Designing effective routing strategies for mobile wireless networks is challenging due to the need to seamlessly adapt routing behavior to spatially diverse and temporally changing network conditions.

Relational Deep Reinforcement Learning for Routing in Wireless Networks

no code implementations • 31 Dec 2020 • Victoria Manfredi, Alicia Wolfe, Bing Wang, Xiaolan Zhang

While routing in wireless networks has been studied extensively, existing protocols are typically designed for a specific set of network conditions and so cannot accommodate any drastic changes in those conditions.

reinforcement-learning Reinforcement Learning (RL)

An Effective Algorithm for Learning Single Occurrence Regular Expressions with Interleaving

no code implementations • 5 Jun 2019 • Yeting Li, Haiming Chen, Xiaolan Zhang, Lingqi Zhang

In this paper, we first propose a new subclass Single Occurrence Regular Expressions with Interleaving (SOIRE), which has unrestricted support for interleaving.

valid