Pablo discusses a collaboration with the Bank of Canada, focusing on the complexities of interbank payments and the role of reinforcement learning in simulating these dynamics. By framing the problem as a multi-agent system, different banks learn optimal strategies while co-learning, which could lead to innovative solutions for economic stability. The preliminary work aims to break down this intricate issue into manageable sub-problems for analysis.
