1 citations · 1 across the 10 of their papers we have counts for
10 papers
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments
Junlin Lu, Patrick Mannion, Karl Mason
Effective residential appliance scheduling is crucial for sustainable living. While multi-objective reinforcement learning (MORL) has proven effective in balancing user preferences…
A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization
Nawazish Ali, Rachael Shaw, Karl Mason
Dairy farms consume a significant amount of electricity for their operations, and this research focuses on enhancing energy efficiency and minimizing the impact on the environment…
Demonstration Guided Multi-Objective Reinforcement Learning
Junlin Lu, Patrick Mannion, Karl Mason
Multi-objective reinforcement learning (MORL) is increasingly relevant due to its resemblance to real-world scenarios requiring trade-offs between multiple objectives. Catering to…
Modelling Solar PV Adoption in Irish Dairy Farms using Agent-Based Modelling
Iias Faiud, Michael Schukat, Karl Mason
The agricultural sector is facing mounting demands to enhance energy efficiency within farm enterprises, concurrent with a steady escalation in electricity costs. This paper focuse…
Inferring Preferences from Demonstrations in Multi-Objective Residential Energy Management
Junlin Lu, Patrick Mannion, Karl Mason
It is often challenging for a user to articulate their preferences accurately in multi-objective decision-making problems. Demonstration-based preference inference (DemoPI) is a pr…
Go-Explore for Residential Energy Management
Junlin Lu, Patrick Mannion, Karl Mason
Reinforcement learning is commonly applied in residential energy management, particularly for optimizing energy costs. However, RL agents often face challenges when dealing with de…