Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach

13 September 2023

Papers citing "Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach"

8 / 8 papers shown

Title
Intelligent Closed-loop RAN Control with xApps in OpenRAN Gym Leonardo Bonati Michele Polese Salvatore D’oro S. Basagni Tommaso Melodia 42 16 0 31 Aug 2022
Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks Amine Abouaomar Afaf Taik Abderrahime Filali Soumaya Cherkaoui 37 46 0 22 Jun 2022
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms Michele Polese Leonardo Bonati Salvatore D’oro S. Basagni Tommaso Melodia 51 151 0 17 Dec 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 33 37 0 12 Nov 2021
Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks Leonardo Bonati Salvatore D’oro Michele Polese S. Basagni Tommaso Melodia 44 252 0 02 Dec 2020
Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication Ali Taleb Ieee Walid Saad Fellow Ieee Mohammad Mozaffari Member Ieee H. Vincent Poor Fellow 28 91 0 01 Nov 2019
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 444 18,931 0 20 Jul 2017
Policy Distillation Andrei A. Rusu Sergio Gomez Colmenarejo Çağlar Gülçehre Guillaume Desjardins J. Kirkpatrick Razvan Pascanu Volodymyr Mnih Koray Kavukcuoglu R. Hadsell 79 690 0 19 Nov 2015