4 papers
Continual Learning to Generalize Forwarding Strategies for Diverse Mobile Wireless Networks
Cheonjin Park, Victoria Manfredi, Xiaolan Zhang +5
Deep reinforcement learning (DRL) has been successfully used to design forwarding strategies for multi-hop mobile wireless networks. While such strategies can be used directly for…
Multicopy Reinforcement Learning Agents
Alicia P. Wolfe, Oliver Diamond, Brigitte Goeler-Slough +3
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 efficien…
Learning an Adaptive Forwarding Strategy for Mobile Wireless Networks: Resource Usage vs. Latency
Victoria Manfredi, Alicia P. Wolfe, Xiaolan Zhang +1
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…
Relational Deep Reinforcement Learning for Routing in Wireless Networks
Victoria Manfredi, Alicia Wolfe, Bing Wang +1
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 dr…