📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Redefining Pedestrian Motion: A Novel, Data-Driven Approach via Inverse Reinforcement Learning (2023)

First Author: Athanasiades, R.

Attributed to: Online Inverse Optimal Transport for Societal Flows funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Type: Thesis