2 citations · 3 across the 7 of their papers we have counts for
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cs.AI2024★ 2 cited
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning
Junlin Lu, Patrick Mannion, Karl Mason
Many decision-making problems feature multiple objectives where it is not always possible to know the preferences of a human or agent decision-maker for different objectives. Howev…
cs.AI2024★ 1 cited
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…
cs.AI2024
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…