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09/11/2023
Steps Towards Satisficing Distributed Dynamic Team Trust
Defining and measuring trust in dynamic, multiagent teams is important i...
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08/21/2023
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision Making
Robust coordination skills enable agents to operate cohesively in shared...
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07/31/2023
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
Generative Artificial Intelligence (AI) is one of the most exciting deve...
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06/01/2023
Augmented Modular Reinforcement Learning based on Heterogeneous Knowledge
In order to mitigate some of the inefficiencies of Reinforcement Learnin...
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03/27/2023
On the Creativity of Large Language Models
Large Language Models (LLMs) are revolutionizing several areas of Artifi...
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01/20/2023
Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning
Practical uses of Artificial Intelligence (AI) in the real world have de...
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01/19/2023
Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
The problem of cooperation is of fundamental importance for human societ...
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12/02/2022
CT-DQN: Control-Tutored Deep Reinforcement Learning
One of the major challenges in Deep Reinforcement Learning for control i...
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09/12/2022
Graph Neural Modeling of Network Flows
Network flow problems, which involve distributing traffic over a network...
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05/26/2022
Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning
A key problem in network theory is how to reconfigure a graph in order t...
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05/25/2022
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
An often neglected issue in multi-agent reinforcement learning (MARL) is...
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01/16/2022
DeepCreativity: Measuring Creativity with Deep Learning Techniques
Measuring machine creativity is one of the most fascinating challenges i...
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11/15/2021
Regional Topics in British Grocery Retail Transactions
Understanding the customer behaviours behind transactional data has high...
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09/16/2021
Reinforcement Learning on Encrypted Data
The growing number of applications of Reinforcement Learning (RL) in rea...
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06/12/2021
Planning Spatial Networks
We tackle the problem of goal-directed graph construction: given a start...
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06/12/2021
Solving Graph-based Public Good Games with Tree Search and Imitation Learning
Public goods games represent insightful settings for studying incentives...
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05/19/2021
Copyright in Generative Deep Learning
Machine-generated artworks are now part of the contemporary art scene: t...
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04/06/2021
Creativity and Machine Learning: A Survey
There is a growing interest in the area of machine learning and creativi...
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02/15/2021
Cooperation and Reputation Dynamics with Reinforcement Learning
Creating incentives for cooperation is a challenge in natural and artifi...
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05/04/2020
Modelling Grocery Retail Topic Distributions: Evaluation, Interpretability and Stability
Understanding the shopping motivations behind market baskets has high co...
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01/30/2020
Improving the Robustness of Graphs through Reinforcement Learning and Graph Neural Networks
Graphs can be used to represent and reason about real world systems. A v...
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12/11/2019
Graph Input Representations for Machine Learning Applications in Urban Network Analysis
Understanding and learning the characteristics of network paths has been...
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09/26/2018
Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas
Multi-agent reinforcement learning has received significant interest in ...
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03/27/2018
You are your Metadata: Identification and Obfuscation of Social Media Users using Metadata Information
Metadata are associated to most of the information we produce in our dai...
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11/28/2017
Intelligent Notification Systems: A Survey of the State of the Art and Research Challenges
Notifications provide a unique mechanism for increasing the effectivenes...
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11/16/2017
Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities
There is an increasing interest in exploiting mobile sensing technologie...
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10/23/2017
Interpretable Machine Learning for Privacy-Preserving Pervasive Systems
The presence of pervasive systems in our everyday lives and the interact...
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03/13/2017
Probabilistic Matching: Causal Inference under Measurement Errors
The abundance of data produced daily from large variety of sources has b...
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03/04/2017
Tracing Networks of Knowledge in the Digital Age
The emergence of new digital technologies has allowed the study of human...
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10/26/2016
