Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation

no code implementations • 30 Apr 2024 • Cengis Hasan, Alexandros Agapitos, David Lynch, Alberto Castagna, Giorgio Cruciata, Hao Wang, Aleksandar Milenovic

We present a method that addresses the pain point of long lead-time required to deploy cell-level parameter optimisation policies to new wireless network sites.

Model-based Reinforcement Learning

Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning

no code implementations • 2 Mar 2023 • Alberto Castagna, Ivana Dusparic

As an alternative, in this paper we propose Expert-Free Online Transfer Learning (EF-OnTL), an algorithm that enables expert-free real-time dynamic transfer learning in multi-agent system.

Multi-agent Reinforcement Learning reinforcement-learning +2

Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems

no code implementations • 1 Dec 2021 • Alberto Castagna, Ivana Dusparic

Reinforcement learning (RL) has been used in a range of simulated real-world tasks, e. g., sensor coordination, traffic light control, and on-demand mobility services.

reinforcement-learning Reinforcement Learning (RL) +1