307 citations · 1.8k across the 57 of their papers we have counts for
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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…
Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
Nayana Dasgupta, Mirco Musolesi
Solving the problem of cooperation is fundamentally important for the creation and maintenance of functional societies. Problems of cooperation are omnipresent within human society…
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
Ho Long Fung, Victor-Alexandru Darvariu, Stephen Hailes +1
An often neglected issue in multi-agent reinforcement learning (MARL) is the potential presence of unreliable agents in the environment whose deviations from expected behavior can…
Cooperation and Reputation Dynamics with Reinforcement Learning
Nicolas Anastassacos, Julian García, Stephen Hailes +1
Creating incentives for cooperation is a challenge in natural and artificial systems. One potential answer is reputation, whereby agents trade the immediate cost of cooperation for…
Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning
Nicolas Anastassacos, Stephen Hailes, Mirco Musolesi
Social dilemmas have been widely studied to explain how humans are able to cooperate in society. Considerable effort has been invested in designing artificial agents for social dil…
Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas
Nicolas Anastassacos, Mirco Musolesi
Multi-agent reinforcement learning has received significant interest in recent years notably due to the advancements made in deep reinforcement learning which have allowed for the…