“Learning to Simulate Crowds with Crowds” by Talukdar, Zhang and Weiss
Conference:
Type(s):
Entry Number: 06
Title:
- Learning to Simulate Crowds with Crowds
Session/Category Title: Posters: Animation & Simulation
Presenter(s)/Author(s):
Abstract:
Controlling agent behaviors with Reinforcement Learning is of continuing interest in multiple areas. We introduce a novel methodology that includes: 1) an RL method for learning an optimal navigational policy, 2) position-based constraints for correcting policy navigational decisions, and 3) a crowd-sourcing framework for selecting policy control parameters.
