The scheduling for individual talk is undergoing. If you have any questions please contact your session organizers directly.
Special Session 147: From optimal control to large population games: Learning and Applications Organizer(s): Gokce Dayanikli , Mathieu Lauriere

Parallel Session 1 :: Monday, 07/06, 13:30 – 16:00                                   Room 827                  
 13:30-14:00  Nizar Touzi (New York University, USA)
 Bridging Schrodinger and Bass: A Semimartingale Optimal Transport Problem with Diffusion Control
 14:00-14:30  Antonis Papapantoleon (TU Delft, Netherlands)
 Stability for BSDEs and backward propagation of chaos
 14:30-15:00  Fabio Camilli (Univ. di Chieti Pescara, Italy)
 A Mean Field Games Perspective on Evolutionary Clustering
 15:00-15:30  Igor Cialenco (Illinois Institute of Technology, USA)
 Vector-valued robust stochastic control with applications to finance
 15:30-16:00  Dena Firoozi (University of Toronto, Canada)
 Ranking Quantilized Mean-Field Games with an Application to Early-Stage Venture Investments

Parallel Session 2 :: Monday, 07/06, 16:30-19:00                                   Room 827                   
 16:30-17:00  Diogo Gomes (KAUST, Saudi Arabia)
 A Preconditioned Monotone Method for Price Formation Mean Field Games
 17:00-17:30  Matias Gomez-Aedo (Imperial College London, England)
 A data-driven approach to time-dependent Hamilton--Jacobi--Bellman PDEs with high-order information
 17:30-18:00  Ruimeng Hu (University of California, Santa Barbara, USA)
 Finite Player Dynamic Games for Battery Energy Storage Intra-day Dispatch
 18:00-18:30  Tomoyuki Ichiba (University of California Santa Barbara, USA)
 Relative Arbitrage in an Extended Mean Field System

Parallel Session 3 :: Tuesday, 07/07, 8:00-10:00                                   Room 827                
 8:00-8:30  Daisuke Inoue (Imperial College London, England)
 Learning Nonlocal Mean Field Schr\\odinger Bridges
 8:30-9:00  Francisco Silva (XLIM, Universite de Limoges, France)
 Initialization-driven neural generation and training for high-dimensional optimal control and first-order mean field games
 9:00-9:30  Ho Man Tai (University of Sydney, Australia)
 Optimal Matching Strategies in Two-sided Markets: A Mean Field Approach
 9:30-10:00  Thaleia Zariphopoulou (The University of Texas at Austin, USA)
 Mean field games with partial information

Parallel Session 4 :: Tuesday, 07/07, 13:30-16:00                                   Room 827                  
 13:30-14:00  Daniela Tonon (University of Padua, Italy)
 Vanishing viscosity limit for Hamilton-Jacobi Equations defined in the Wasserstein space
 14:00-14:30  Alexander Vladimirsky (Cornell University, USA)
 Behavioral patterns, partial observability, and uncertainty in mean-field game epidemiological models
 14:30-15:00  Jiefei Yang (New York University Shanghai, Peoples Rep of China)
 Dual Approaches to Stochastic Control via SPDEs and the Pathwise Hopf Formula
 15:00-15:30  Naci Saldi (Bilkent University, Turkey)
 Inverse Reinforcement Learning for Mean-Field Games
 15:30-16:00  Stefanos Theodorakopoulos (TU Berlin, Germany)
 Mean-field games with rough common noise: the linear-quadratic case