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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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03/06/2023
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models
Partially Observable Markov Decision Processes (POMDPs) are useful tools...
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01/18/2023
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization
Multi-objective reinforcement learning (MORL) algorithms tackle sequenti...
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01/13/2023
Bridging the Gap Between Single and Multi Objective Games
A classic model to study strategic decision making in multi-agent system...
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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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11/08/2022
Determining Accessible Sidewalk Width by Extracting Obstacle Information from Point Clouds
Obstacles on the sidewalk often block the path, limiting passage and res...
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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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12/23/2021
Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) enables us to create adaptive ...
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12/13/2021
On Nash Equilibria in Normal-Form Games With Vectorial Payoffs
We provide an in-depth study of Nash equilibria in multi-objective norma...
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11/17/2021
Preference Communication in Multi-Objective Normal-Form Games
We study the problem of multiple agents learning concurrently in a multi...
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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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01/19/2021
Scalable Optimization for Wind Farm Control using Coordination Graphs
Wind farms are a crucial driver toward the generation of ecological and ...
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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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05/04/2020
Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm
Not all generate-and-test search algorithms are created equal. Bayesian ...
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01/21/2020
Learning Directed Locomotion in Modular Robots with Evolvable Morphologies
We generalize the well-studied problem of gait learning in modular robot...
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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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01/15/2020
Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping
We present a new model-based reinforcement learning algorithm, Cooperati...
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11/22/2019
Multi-Agent Thompson Sampling for Bandit Applications with Sparse Neighbourhood Structures
Multi-agent coordination is prevalent in many real-world applications. H...
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11/22/2019
Thompson Sampling for Factored Multi-Agent Bandits
Multi-agent coordination is prevalent in many real-world applications. H...
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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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03/11/2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics
Value-based reinforcement-learning algorithms are currently state-of-the...
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02/07/2019
The Actor-Advisor: Policy Gradient With Off-Policy Advice
Actor-critic algorithms learn an explicit policy (actor), and an accompa...
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09/20/2018
Dynamic Weights in Multi-Objective Deep Reinforcement Learning
Many real-world decision problems are characterized by multiple objectiv...
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08/13/2018
Directed Policy Gradient for Safe Reinforcement Learning with Human Advice
Many currently deployed Reinforcement Learning agents work in an environ...
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02/21/2018
Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making
In multi-objective decision planning and learning, much attention is pai...
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11/16/2017
Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies
Pandemic influenza has the epidemic potential to kill millions of people...
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08/22/2017
Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets
Many real-world reinforcement learning problems have a hierarchical natu...
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10/09/2016
Multi-Objective Deep Reinforcement Learning
We propose Deep Optimistic Linear Support Learning (DOL) to solve high-d...
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06/22/2016
Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information
Zero-sum stochastic games provide a rich model for competitive decision ...
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11/29/2015
