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06/20/2023
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication
Evolutionary Algorithms and Deep Reinforcement Learning have both succes...
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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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04/27/2023
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach
Many decision-making problems feature multiple objectives. In such probl...
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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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01/28/2021
Exploring the Impact of Tunable Agents in Sequential Social Dilemmas
When developing reinforcement learning agents, the standard approach is ...
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11/14/2020
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games
Many real-world multi-agent interactions consider multiple distinct crit...
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02/02/2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
With the development of deep representation learning, the domain of rein...
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01/17/2020
A utility-based analysis of equilibria in multi-objective normal form games
In multi-objective multi-agent systems (MOMAS), agents explicitly consid...
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09/06/2019
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey
The majority of multi-agent system (MAS) implementations aim to optimise...
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02/10/2019
Vulnerable road user detection: state-of-the-art and open challenges
Correctly identifying vulnerable road users (VRUs), e.g. cyclists and pe...
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01/06/2019