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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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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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Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm
Not all generate-and-test search algorithms are created equal. Bayesian ...
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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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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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Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping
We present a new model-based reinforcement learning algorithm, Cooperati...
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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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Thompson Sampling for Factored Multi-Agent Bandits
Multi-agent coordination is prevalent in many real-world applications. H...
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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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Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics
Value-based reinforcement-learning algorithms are currently state-of-the...
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The Actor-Advisor: Policy Gradient With Off-Policy Advice
Actor-critic algorithms learn an explicit policy (actor), and an accompa...
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Dynamic Weights in Multi-Objective Deep Reinforcement Learning
Many real-world 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 Multi-Objective Decision Making
In multi-objective decision planning and learning, much attention is pai...
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Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies
Pandemic influenza has the epidemic potential to kill millions of people...
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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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Multi-Objective Deep Reinforcement Learning
We propose Deep Optimistic Linear Support Learning (DOL) to solve high-d...
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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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Solving Transition-Independent Multi-agent MDPs with Sparse Interactions (Extended version)
In cooperative multi-agent sequential decision making under uncertainty,...
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