Mean-Field Games Stochastic Differential Mean-Field Games by Kavita Ramanan

Explore the intricacies of Mean-Field Games and Stochastic Differential Mean-Field Games in this third lecture delivered by Kavita Ramanan as part of the "Advances in Applied Probability" program. Delve into the mathematical foundations and applications of these game-theoretic models, which are crucial for understanding large-scale systems with numerous interacting agents. Gain insights into the latest developments in this field, including limit theorems, optimization techniques, and their relevance to real-world scenarios such as economics, social networks, and technological systems. Benefit from the expertise of a leading researcher in applied probability and expand your knowledge of this cutting-edge area at the intersection of probability theory, game theory, and stochastic analysis.