Molly Zhang

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 5

Top Topics

Limited Bandwidth

Reinforcement Learning

Collision Avoidance

Multi Path Routing

Top Venues

Comput. Commun.

Publications

Molly Zhang, Luca de Alfaro, J. J. Garcia-Luna-Aceves
Making slotted ALOHA efficient and fair using reinforcement learning. Comput. Commun. 181 (2022)
Molly Zhang, Luca de Alfaro, Marc Mosko, Colin Funai, Tim Upthegrove, Bishal Thapa, Daniel Javorsek, J. J. Garcia-Luna-Aceves
Adaptive Policy Tree Algorithm to Approach Collision-Free Transmissions in Slotted ALOHA. MASS (2020)
Luca de Alfaro, Molly Zhang, J. J. Garcia-Luna-Aceves
Approaching Fair Collision-Free Channel Access with Slotted ALOHA Using Collaborative Policy-Based Reinforcement Learning. Networking (2020)
Molly Zhang, Luca de Alfaro, J. J. Garcia-Luna-Aceves
Using Reinforcement Learning in Slotted Aloha for Ad-Hoc Networks. MSWiM (2020)
Molly Zhang, Luca de Alfaro, J. J. Garcia-Luna-Aceves
An Adaptive Tree Algorithm to Approach Collision-Free Transmission in Slotted ALOHA. NetAI@SIGCOMM (2020)