Improved Multi-Agent Reinforcement Learning for Path Planning-Based Crowd Simulation

The combination of multi-agent technology and reinforcement learning methods has been recognized as an effective way which is used in path planning-based crowd simulation. However, the existing solution is still not satisfactory due to the problem in the mutual influence of agents. Therefore, an imp...

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Bibliographic Details
Main Authors: Qingqing Wang, Hong Liu, Kaizhou Gao, Le Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8731958/