2 citations · 2 across the 4 of their papers we have counts for
4 papers
Reinforcement Learning for Battery Management in Dairy Farming
Nawazish Ali, Abdul Wahid, Rachael shaw +1
Dairy farming is a particularly energy-intensive part of the agriculture sector. Effective battery management is essential for renewable integration within the agriculture sector.…
Evolving Multi-Objective Neural Network Controllers for Robot Swarms
Karl Mason, Sabine Hauert
Many swarm robotics tasks consist of multiple conflicting objectives. This research proposes a multi-objective evolutionary neural network approach to developing controllers for sw…
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication
Adam Callaghan, Karl Mason, Patrick Mannion
Evolutionary Algorithms and Deep Reinforcement Learning have both successfully solved control problems across a variety of domains. Recently, algorithms have been proposed which co…
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach
Junlin Lu, Patrick Mannion, Karl Mason
Many decision-making problems feature multiple objectives. In such problems, it is not always possible to know the preferences of a decision-maker for different objectives. However…