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05/09/2023
Distributional Multi-Objective Decision Making
For effective decision support in scenarios with conflicting objectives,...
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11/23/2022
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning
In many risk-aware and multi-objective reinforcement learning settings, ...
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07/01/2022
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models
Many real-world problems contain multiple objectives and agents, where a...
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04/11/2022
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning
Infectious disease outbreaks can have a disruptive impact on public heal...
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06/02/2021
Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making
In many real-world scenarios, the utility of a user is derived from the ...
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03/17/2021
A Practical Guide to Multi-Objective Reinforcement Learning and Planning
Real-world decision-making tasks are generally complex, requiring trade-...
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02/01/2021
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search
In many risk-aware and multi-objective reinforcement learning settings, ...
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06/23/2018
Deep Reinforcement Learning: An Overview
In recent years, a specific machine learning method called deep learning...
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12/17/2016