Heterogeneous crowd simulation using parametric reinforcement learning
Agent-based synthetic crowd simulation affords the cost-effective large-scale simulation and
animation of interacting digital humans. Model-based approaches have successfully …
animation of interacting digital humans. Model-based approaches have successfully …
Theory, Technology and Application Progress for Human being-oriented Observation
Z FANG - Geomatics and Information Science of Wuhan …, 2024 - ch.whu.edu.cn
Human being-oriented Observation has been a basic application requirement for a long
time. The popularization of big data brought about by the development of modern …
time. The popularization of big data brought about by the development of modern …
MASAI: Multi-agent Summative Assessment Improvement for Unsupervised Environment Design
Y Wang, MB Haworth - ICML 2021 Workshop on Unsupervised … - openreview.net
Reinforcement Learning agents require a distribution of environments for their policy to be
trained on. The method or process of defining these environments directly impacts …
trained on. The method or process of defining these environments directly impacts …
Controlling agents using recurrent neural network in crowd simulation
Y Peng, M Oshita - International Workshop on Advanced …, 2021 - spiedigitallibrary.org
We use deep learning technique for predicting temporary target position of each controlling
agent in crowd simulation. Our deep learning model is based on recurrent neural network …
agent in crowd simulation. Our deep learning model is based on recurrent neural network …