A probabilistic optimization approach to deal with uncertainties in model calibration. - Nicolas Poiron-Guidoni; Paul-Antoine Bisgambiglia (CEC, 2020)

Deep hierarchical reinforcement learning in a markov game applied to fishery management decision making. - Nicolas Poiron-Guidoni; Paul-Antoine Bisgambiglia (SSCI, 2020)

Deep hierarchical reinforcement learning to manage the trade-off between sustainability and profitability in common pool resources systems. - Nicolas Poiron-Guidoni; Paul-Antoine Bisgambiglia (IJCNN, 2021)