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Learning Behavior Trees by Evolution-Inspired Approaches:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,

Deng, Chuanshuai ; Zhao, Chenjing ; Liu, Zhenghui... - p. 275-278 , 2023

Link: https://dl.acm.org/doi/10.1145/3583133.3590642

RT 
T1 <cTitle>Proceedings of the Companion Conference on Genetic and Evolutionary Computation</cTitle>: T1 <Title>Learning Behavior Trees by Evolution-Inspired Approaches</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3590642&Exemplar=1&LAN=DE
				
A1 Deng, Chuanshuai
A1 Zhao, Chenjing
A1 Liu, Zhenghui
A1 Zhang, Jiexin
A1 Wu, Yunlong
A1 Wang, Yanzhen
A1 Cheng, Hong
A1 Yi, Xiaodong
PB ACM
YR 2023
K1 behavior tree
K1 grammatical evolution
K1 genetic programming
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Mathematical optimization
K1 Randomness, geometry and discrete structures
K1 Random search heuristics
K1 Theory and algorithms for application domains
K1 Theory of randomized search heuristics
K1 Mathematics of computing
K1 Discrete mathematics
K1 Combinatorics
K1 Probability and statistics
K1 Probabilistic reasoning algorithms
K1 Probabilistic algorithms
K1 Computing methodologies
K1 Artificial intelligence
K1 Search methodologies
SP 275
OP 278
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583133.3590642
DO https://dl.acm.org/doi/10.1145/3583133.3590642
SF ELIB - SuUB Bremen

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