Stochastic control and stochastic games have wide applicability in many fields and many of the theoretical developments are driven by questions arising in mathematical finance and insurance. There is also a wealth of activity in developing computational tools, stemming from machine learning, but guided by theory, that find their applications here. The aim of this conference is to bring together international leaders from across the world to discuss recent results, open problems, and new directions in the field. 

Thank you to Riskfuel Analytics for their support in organizing this conference.

Riskfuel uses machine learning to accelerate derivatives valuation models for capital markets.

You can find a tentative schedule of the conference below.