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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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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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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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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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05/27/2020
Identifying Vulnerabilities of Industrial Control Systems using Evolutionary Multiobjective Optimisation
In this paper we propose a novel methodology to assist in identifying vu...
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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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11/22/2018
