Search Results for author: Jonathan Thomas

Found 2 papers, 0 papers with code

Sim2real for Reinforcement Learning Driven Next Generation Networks

no code implementations8 Jun 2022 Peizheng Li, Jonathan Thomas, Xiaoyang Wang, Hakan Erdol, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert Piechocki

One of the main reasons is the modelling gap between the simulation and the real environment, which could make the RL agent trained by simulation ill-equipped for the real environment.

reinforcement-learning

RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN

no code implementations12 Nov 2021 Peizheng Li, Jonathan Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert Piechocki

We provide a taxonomy of the challenges faced by ML/RL models throughout the development life-cycle: from the system specification to production deployment (data acquisition, model design, testing and management, etc.).

Management reinforcement-learning

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