Safe RAN control: A Symbolic Reinforcement Learning Approach

no code implementations • 3 Jun 2021 • Alexandros Nikou, Anusha Mujumdar, Vaishnavi Sundararajan, Marin Orlic, Aneta Vulgarakis Feljan

In particular, we provide a purely automated procedure in which a user can specify high-level logical safety specifications for a given cellular network topology in order for the latter to execute optimal safe performance which is measured through certain Key Performance Indicators (KPIs).

reinforcement-learning Reinforcement Learning (RL) +1

Machine Reasoning Explainability

no code implementations • 1 Sep 2020 • Kristijonas Cyras, Ramamurthy Badrinath, Swarup Kumar Mohalik, Anusha Mujumdar, Alexandros Nikou, Alessandro Previti, Vaishnavi Sundararajan, Aneta Vulgarakis Feljan

As a field of AI, Machine Reasoning (MR) uses largely symbolic means to formalize and emulate abstract reasoning.

Explainable Artificial Intelligence (XAI)