Robert Lange on NN Pruning and Collective Intelligence
Machine Learning Street Talk (MLST)
00:00
Economics Meets Reinforcement Learning
This chapter explores the interplay between economics and multi-agent reinforcement learning, highlighting how insights from computational economics inform machine learning techniques. It covers various behavioral influence strategies and addresses the ethical implications of economic simulations and their outcomes on wealth redistribution. The dialogue emphasizes the evolution of simulation methods and the significant impact of data-driven approaches on understanding human decision-making in the context of economic theory.
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