307 citations · 1.8k across the 57 of their papers we have counts for
62 papers
Steps Towards Satisficing Distributed Dynamic Team Trust
Edmund R. Hunt, Chris Baber, Mehdi Sobhani +5
Defining and measuring trust in dynamic, multiagent teams is important in a range of contexts, particularly in defense and security domains. Team members should be trusted to work…
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
Giovanni Minelli, Mirco Musolesi
Robust coordination skills enable agents to operate cohesively in shared environments, together towards a common goal and, ideally, individually without hindering each other's prog…
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
Giorgio Franceschelli, Mirco Musolesi
Generative Artificial Intelligence (AI) is one of the most exciting developments in Computer Science of the last decade. At the same time, Reinforcement Learning (RL) has emerged a…
Heterogeneous Knowledge for Augmented Modular Reinforcement Learning
Lorenz Wolf, Mirco Musolesi
Existing modular Reinforcement Learning (RL) architectures are generally based on reusable components, also allowing for "plug-and-play" integration. However, these modules are hom…
On the Creativity of Large Language Models
Giorgio Franceschelli, Mirco Musolesi
Large Language Models (LLMs) are revolutionizing several areas of Artificial Intelligence. One of the most remarkable applications is creative writing, e.g., poetry or storytelling…
Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning
Elizaveta Tennant, Stephen Hailes, Mirco Musolesi
Practical uses of Artificial Intelligence (AI) in the real world have demonstrated the importance of embedding moral choices into intelligent agents. They have also highlighted tha…