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01/30/2023
Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration
Individual-based epidemiological models support the study of fine-graine...
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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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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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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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03/30/2020
Deep reinforcement learning for large-scale epidemic control
Epidemics of infectious diseases are an important threat to public healt...
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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
Fleet Control using Coregionalized Gaussian Process Policy Iteration
In many settings, as for example wind farms, multiple machines are insta...
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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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09/30/2019
IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers
Over the last decade, the demand for better segmentation and classificat...
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11/16/2017