Pac-Man Conquers Academia: Two Decades of Research Using a Classic Arcade Game
P Rohlfshagen, J Liu, D Perez-Liebana… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Pac-Man and its equally popular successor Ms. Pac-Man are often attributed to being the
frontrunners of the golden age of arcade video games. Their impact goes well beyond the …
frontrunners of the golden age of arcade video games. Their impact goes well beyond the …
Combining planning and learning of behavior trees for robotic assembly
Industrial robots can solve tasks in controlled environments, but modern applications require
robots able to operate also in unpredictable surroundings. An increasingly popular reactive …
robots able to operate also in unpredictable surroundings. An increasingly popular reactive …
Learning behavior trees with genetic programming in unpredictable environments
Modern industrial applications require robots to operate in unpredictable environments, and
programs to be created with a minimal effort, to accommodate frequent changes to the task …
programs to be created with a minimal effort, to accommodate frequent changes to the task …
Learning behavior trees for autonomous agents with hybrid constraints evolution
Q Zhang, J Yao, Q Yin, Y Zha - Applied Sciences, 2018 - mdpi.com
Featured Application The proposed approach can learn transparent behavior models
represented as Behavior Trees, which could be used to alleviate the heaven endeavor of …
represented as Behavior Trees, which could be used to alleviate the heaven endeavor of …
EvolvingBehavior: towards co-creative evolution of behavior trees for game NPCs
N Partlan, L Soto, J Howe, S Shrivastava… - Proceedings of the 17th …, 2022 - dl.acm.org
To assist game developers in crafting game NPCs, we present EvolvingBehavior, a novel
tool for genetic programming to evolve behavior trees in Unreal® Engine 4. In an initial …
tool for genetic programming to evolve behavior trees in Unreal® Engine 4. In an initial …
Behavior modeling for autonomous agents based on modified evolving behavior trees
Q Zhang, K Xu, P Jiao, Q Yin - 2018 IEEE 7th Data Driven …, 2018 - ieeexplore.ieee.org
In modern training, entertainment and education applications, behavior trees (BTs) have
been the fantastic alternative to FSMs to model and control autonomous agents. However …
been the fantastic alternative to FSMs to model and control autonomous agents. However …
Survey of evolutionary behavior tree algorithm
Y Jie, Z Qi, J Zeng, Q Yin - Journal of …, 2021 - dc-china-simulation …
Evolutionary behavior tree method is an agent behavior modeling method which uses
evolutionary algorithm to generate and optimize behavior tree model. Based on the …
evolutionary algorithm to generate and optimize behavior tree model. Based on the …
进化行为树方法研究综述
杨杰, 张琪, 曾俊杰, 尹全军 - 系统仿真学报, 2021 - china-simulation.com
进化行为树方法是一种利用进化算法自主生成和优化行为树模型的智能体行为建模方法.
从介绍行为树, 进化算法相关背景知识入手, 阐述了基于遗传编程, 语法演化 …
从介绍行为树, 进化算法相关背景知识入手, 阐述了基于遗传编程, 语法演化 …
Using Quality Diversity in Genetic Programming to Improve Automatic Learning of Behaviour Trees
A Willemsen - 2023 - diva-portal.org
One of the main purposes of the fields of Robotics and Artificial Intelligence is to develop
solutions that can autonomously solve problems. An important part of this is synthesising …
solutions that can autonomously solve problems. An important part of this is synthesising …
Boosting Robot Behavior Generation with Large Language Models and Genetic Programming
AV Gonzalez, LM Cabañas, M Dalmau-Moreno… - 2nd Workshop on … - openreview.net
Mobile robots are increasingly ubiquitous in modern society, necessitating more human-like
interaction capabilities, such as following operator instructions or collaborating with humans …
interaction capabilities, such as following operator instructions or collaborating with humans …