Molly Zhang

According to our database, Molly Zhang authored at least 6 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Making slotted ALOHA efficient and fair using reinforcement learning.

Molly Zhang, Luca de Alfaro, J. J. Garcia-Luna-Aceves

Comput. Commun., 2022

2021

Policy Tree Based Reinforcement Learning Approaches for Medium Access Control.

Molly Zhang

PhD thesis, 2021

2020

An Adaptive Tree Algorithm to Approach Collision-Free Transmission in Slotted ALOHA.

Molly Zhang, Luca de Alfaro, J. J. Garcia-Luna-Aceves

Proceedings of the 2020 Workshop on Network Meets AI & ML, 2020

Approaching Fair Collision-Free Channel Access with Slotted ALOHA Using Collaborative Policy-Based Reinforcement Learning.

Luca de Alfaro, Molly Zhang, J. J. Garcia-Luna-Aceves

Proceedings of the 2020 IFIP Networking Conference, 2020

Using Reinforcement Learning in Slotted Aloha for Ad-Hoc Networks.

Molly Zhang, Luca de Alfaro, J. J. Garcia-Luna-Aceves

Proceedings of the MSWiM '20: 23rd International ACM Conference on Modeling, 2020

Adaptive Policy Tree Algorithm to Approach Collision-Free Transmissions in Slotted ALOHA.

Molly Zhang, Luca de Alfaro, Marc Mosko, Colin Funai, Tim Upthegrove, Bishal Thapa, Daniel Javorsek, J. J. Garcia-Luna-Aceves

Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020