Multicopy Reinforcement Learning Agents

no code implementations • 19 Sep 2023 • Alicia P. Wolfe, Oliver Diamond, Remi Feuerman, Magdalena Kisielinska, Brigitte Goeler-Slough, Victoria Manfredi

This paper examines a novel type of multi-agent problem, in which an agent makes multiple identical copies of itself in order to achieve a single agent task better or more efficiently.

reinforcement-learning

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)

Scan Strategies for Meteorological Radars

no code implementations • NeurIPS 2007 • Victoria Manfredi, Jim Kurose

We focus on a meteorological sensing network comprising radars that can perform sector scanning rather than always scanning 360 degrees.

Decision Making