TY - GEN
T1 - Learning to Simulate Crowds with Crowds
AU - Talukdar, Bilas
AU - Zhang, Yunhao
AU - Weiss, Tomer
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/7/23
Y1 - 2023/7/23
N2 - Controlling agent behaviors with Reinforcement Learning is of continuing interest in multiple areas. One major focus is to simulate multi-Agent crowds that avoid collisions while locomoting to their goals. Although avoiding collisions is important, it is also necessary to capture realistic anticipatory navigation behaviors. 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. Based on optimally selected parameters, we train a multi-Agent navigation policy, which we demonstrate on crowd benchmarks. We compare our method to existing works, and demonstrate that our approach achieves superior multi-Agent behaviors.
AB - Controlling agent behaviors with Reinforcement Learning is of continuing interest in multiple areas. One major focus is to simulate multi-Agent crowds that avoid collisions while locomoting to their goals. Although avoiding collisions is important, it is also necessary to capture realistic anticipatory navigation behaviors. 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. Based on optimally selected parameters, we train a multi-Agent navigation policy, which we demonstrate on crowd benchmarks. We compare our method to existing works, and demonstrate that our approach achieves superior multi-Agent behaviors.
UR - http://www.scopus.com/inward/record.url?scp=85167946538&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85167946538&partnerID=8YFLogxK
U2 - 10.1145/3588028.3603670
DO - 10.1145/3588028.3603670
M3 - Conference contribution
AN - SCOPUS:85167946538
T3 - Proceedings - SIGGRAPH 2023 Posters
BT - Proceedings - SIGGRAPH 2023 Posters
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery, Inc
T2 - Special Interest Group on Computer Graphics and Interactive Techniques Conference - Posters, SIGGRAPH 2023
Y2 - 6 August 2023 through 10 August 2023
ER -