Search Results for author: Giorgio Cruciata

Found 2 papers, 1 papers with code

UCB-driven Utility Function Search for Multi-objective Reinforcement Learning

1 code implementation1 May 2024 Yucheng Shi, Alexandros Agapitos, David Lynch, Giorgio Cruciata, Cengis Hasan, Hao Wang, Yayu Yao, Aleksandar Milenovic

In Multi-objective Reinforcement Learning (MORL) agents are tasked with optimising decision-making behaviours that trade-off between multiple, possibly conflicting, objectives.

Decision Making Multi-Objective Reinforcement Learning +1

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

no code implementations30 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

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