Mathematics Events
Mathematics Colloquium - Haipeng Chen (W&M)
Title: Learning to Optimize in Networks
Abstract: Decision-making has been critical in socially important domains like population health. Typical examples include epidemic control and network-based preventative health, where the decision-making problems essentially have a network or combinatorial structure. This class of decision-making problems is highly challenging because of the exponentially large solution spaces. The challenge has been amplified by real-world characteristics of population health, such as stochasticity, sequential decision-making, and unknown constraints/objectives. In this talk, I will show how these combinatorial optimization problems can be formulated as Markov decision processes (MDPs), and how to design novel reinforcement learning methods to solve them.
Sponsored by: Mathematics
Contact
Yuming Sun