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08/11/2023
Contrastive Explanations of Multi-agent Optimization Solutions
In many real-world scenarios, agents are involved in optimization proble...
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12/01/2022
Fairness in Multi-Agent Planning
In cooperative Multi-Agent Planning (MAP), a set of goals has to be achi...
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11/28/2022
Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning
Reinforcement Learning (RL) algorithms are known to scale poorly to envi...
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03/30/2022
Anticipatory Counterplanning
In competitive environments, commonly agents try to prevent opponents fr...
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03/16/2022
Explaining Preference-driven Schedules: the EXPRES Framework
Scheduling is the task of assigning a set of scarce resources distribute...
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02/27/2020
Multi-tier Automated Planning for Adaptive Behavior (Extended Version)
A planning domain, as any model, is never complete and inevitably makes ...
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05/27/2019