3 papers
cs.MA2026
-fair heterogeneous agent reinforcement learning
Yao-hua Franck Xu, Tayeb Lemlouma, Jean-Marie Bonnin +1
Cooperation in multi-agent systems is typically optimized through utilitarian objectives that maximize overall efficiency but fail to account for reward distribution, often resulti…
cs.MA2026
Altruism and Fair Objective in Mixed-Motive Markov games
Yao-hua Franck Xu, Tayeb Lemlouma, Arnaud Braud +1
Cooperation is fundamental for society's viability, as it enables the emergence of structure within heterogeneous groups that seek collective well-being. However, individuals are i…
cs.MA2023
Exploring Global Climate Cooperation through AI: An Assessment of the AI4GCC Framework by simulations
Xavier Marjou, Arnaud Braud, Gaël Fromentoux
In scenarios where a single player cannot control other players, cooperative AI is a recent technology that takes advantage of deep learning to assess whether cooperation might occ…