Modeling Collective Behavior for Fish School With Deep Q-Networks
Modeling collective behavior is a way to better understand the mechanisms that govern collective animal behaviors. Traditional rule-based modeling methods rely heavily on human prior knowledge and may not provide a proper explanation of the phenomenon of collective behaviors. This paper proposes a D...
Saved in:
| Main Authors: | Pengyu Chen, Fang Wang, Shuo Liu, Yifan Yu, Shengzhi Yue, Yanan Song, Yuanshan Lin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10087222/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Collective phases and long-term dynamics in a fish school model with burst-and-coast swimming
by: Weijia Wang, et al.
Published: (2025-05-01) -
How Classroom Climate, Student Problem Behaviors, and Collective Teacher Efficacy Relate to SWPBIS Implementation Fidelity in 23 Swedish Schools
by: Martin Karlberg
Published: (2025-03-01) -
The implementation of collection development in the Gempita Pustaka School Library
by: Diaz Lana Putra, et al.
Published: (2025-06-01) -
Standardized Approach to Life History Data Collection in Poeciliid Fishes
by: Erik S. Johnson
Published: (2025-02-01) -
DQN Simulation Model of Green Cooperative Market Behavior of Multi-Load Users for Optimal Evolution of New-Type Power System
by: ZHANG Shuo, YUAN Chunhui, LI Yingzi, XIAO Yangming, WEI Ming, HE Yunzheng
Published: (2025-07-01)