
Opponent Learning Awareness and Modelling in MultiObjective Normal Form Games
Many realworld multiagent interactions consider multiple distinct crit...
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Deep reinforcement learning for largescale epidemic control
Epidemics of infectious diseases are an important threat to public healt...
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An interpretable semisupervised classifier using two different strategies for amended selflabeling
In the context of some machine learning applications, obtaining data ins...
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A utilitybased analysis of equilibria in multiobjective normal form games
In multiobjective multiagent systems (MOMAS), agents explicitly consid...
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Modelbased MultiAgent Reinforcement Learning with Cooperative Prioritized Sweeping
We present a new modelbased reinforcement learning algorithm, Cooperati...
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Fleet Control using Coregionalized Gaussian Process Policy Iteration
In many settings, as for example wind farms, multiple machines are insta...
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MultiAgent Thompson Sampling for Bandit Applications with Sparse Neighbourhood Structures
Multiagent coordination is prevalent in many realworld applications. H...
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Thompson Sampling for Factored MultiAgent Bandits
Multiagent coordination is prevalent in many realworld applications. H...
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IPCNet: 3D pointcloud segmentation using deep interpoint convolutional layers
Over the last decade, the demand for better segmentation and classificat...
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MultiObjective MultiAgent Decision Making: A Utilitybased Analysis and Survey
The majority of multiagent system (MAS) implementations aim to optimise...
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Transfer Learning Across Simulated Robots With Different Sensors
For a robot to learn a good policy, it often requires expensive equipmen...
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SampleEfficient ModelFree Reinforcement Learning with OffPolicy Critics
Valuebased reinforcementlearning algorithms are currently stateofthe...
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The ActorAdvisor: Policy Gradient With OffPolicy Advice
Actorcritic algorithms learn an explicit policy (actor), and an accompa...
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Dynamic Weights in MultiObjective Deep Reinforcement Learning
Many realworld decision problems are characterized by multiple objectiv...
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Directed Policy Gradient for Safe Reinforcement Learning with Human Advice
Many currently deployed Reinforcement Learning agents work in an environ...
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Ordered Preference Elicitation Strategies for Supporting MultiObjective Decision Making
In multiobjective decision planning and learning, much attention is pai...
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Bayesian BestArm Identification for Selecting Influenza Mitigation Strategies
Pandemic influenza has the epidemic potential to kill millions of people...
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Learning with Options that Terminate OffPolicy
A temporally abstract action, or an option, is specified by a policy and...
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Reinforcement Learning in POMDPs with Memoryless Options and OptionObservation Initiation Sets
Many realworld reinforcement learning problems have a hierarchical natu...
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Analysing Congestion Problems in Multiagent Reinforcement Learning
Congestion problems are omnipresent in today's complex networks and repr...
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Solving stable matching problems using answer set programming
Since the introduction of the stable marriage problem (SMP) by Gale and ...
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OffPolicy Reward Shaping with Ensembles
Potentialbased reward shaping (PBRS) is an effective and popular techni...
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OffPolicy Shaping Ensembles in Reinforcement Learning
Recent advances of gradient temporaldifference methods allow to learn o...
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Modeling Stable Matching Problems with Answer Set Programming
The Stable Marriage Problem (SMP) is a wellknown matching problem first...
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