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International Conference on Bio-inspired Computing, Theories and Applications : [proceedings]. International Conference on Bio-inspired Computing, Theories and Applications最新文献

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Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding 通过策略嵌入实现代理辅助的进化强化学习
Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang, Ke Tang
Evolutionary Reinforcement Learning (ERL) that applying Evolutionary Algorithms (EAs) to optimize the weight parameters of Deep Neural Network (DNN) based policies has been widely regarded as an alternative to traditional reinforcement learning methods. However, the evaluation of the iteratively generated population usually requires a large amount of computational time and can be prohibitively expensive, which may potentially restrict the applicability of ERL. Surrogate is often used to reduce the computational burden of evaluation in EAs. Unfortunately, in ERL, each individual of policy usually represents millions of weights parameters of DNN. This high-dimensional representation of policy has introduced a great challenge to the application of surrogates into ERL to speed up training. This paper proposes a PE-SAERL Framework to at the first time enable surrogate-assisted evolutionary reinforcement learning via policy embedding (PE). Empirical results on 5 Atari games show that the proposed method can perform more efficiently than the four state-of-the-art algorithms. The training process is accelerated up to 7x on tested games, comparing to its counterpart without the surrogate and PE.
进化强化学习(ERL)是一种应用进化算法(EAs)来优化基于深度神经网络(DNN)策略的权重参数的方法,被广泛认为是传统强化学习方法的替代方法。然而,对迭代生成的种群进行评估通常需要大量的计算时间,并且可能非常昂贵,这可能会限制ERL的适用性。代理通常用于减少ea评估的计算负担。不幸的是,在ERL中,每个策略个体通常代表数百万个深度神经网络的权重参数。这种对政策的高维表示给代理模型在ERL中的应用带来了很大的挑战。本文首次提出了一个PE- saerl框架,通过策略嵌入(PE)实现代理辅助进化强化学习。5个雅达利游戏的实证结果表明,所提出的方法比四种最先进的算法执行效率更高。在测试游戏中,与没有替代和PE的情况相比,训练过程加快了7倍。
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引用次数: 0
Bio-Inspired Computing: Theories and Applications: 17th International Conference, BIC-TA 2022, Wuhan, China, December 16–18, 2022, Revised Selected Papers 生物启发计算:理论与应用:第17届国际会议,bicta 2022,中国武汉,2022年12月16-18日,修订论文选集
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引用次数: 0
A Self-adaptive Single-Objective Multitasking Optimization Algorithm 一种自适应单目标多任务优化算法
Xiaoyu Li, Lei Wang, Qiaoyong Jiang, Wei Li, Bin Wang
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引用次数: 0
Bio-Inspired Computing: Theories and Applications: 16th International Conference, BIC-TA 2021, Taiyuan, China, December 17–19, 2021, Revised Selected Papers, Part I 生物启发计算:理论与应用:第16届国际会议,bicta 2021,中国太原,12月17-19日,2021,修订论文选集,第一部分
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引用次数: 1
Multi-UUV Underwater Target Cooperative Detection Task Planning and Assignment 多uuv水下目标协同探测任务规划与分配
Yongzhou Lu, Hao Zhou, Heng-chu Fang, Ziwei Zhao
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引用次数: 1
An Analysis for Thermal Conductivity of Graphene/Polymer Nanocomposites 石墨烯/聚合物纳米复合材料的导热性能分析
Zirui Liang, Weigang Huang, Runzhe Rao, Fang Li
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引用次数: 0
Research on Soil Moisture Prediction Based on LSTM-Transformer Model 基于lstm -变压器模型的土壤水分预测研究
Tao Zhou, Yuanxin He, Liang Luo, S. Ji
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引用次数: 0
Diffusion Optimization Algorithm Based on Membrane Calculation 基于膜计算的扩散优化算法
Yanbing Zhang, Hao Wang, Liang Luo
{"title":"Diffusion Optimization Algorithm Based on Membrane Calculation","authors":"Yanbing Zhang, Hao Wang, Liang Luo","doi":"10.1007/978-981-99-1549-1_50","DOIUrl":"https://doi.org/10.1007/978-981-99-1549-1_50","url":null,"abstract":"","PeriodicalId":88899,"journal":{"name":"International Conference on Bio-inspired Computing, Theories and Applications : [proceedings]. International Conference on Bio-inspired Computing, Theories and Applications","volume":"5 1","pages":"628-646"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87380707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Helmet Wearing Detection Based on Improved YOLOv4 Algorithm 基于改进YOLOv4算法的头盔磨损检测研究
Wei Zhao, Jing Wang
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引用次数: 0
Simulation of Airflow Characteristics of a Seabird Following a Ship Based on Steady State 基于稳态的海鸟跟船气流特性模拟
Chao Lu, Guangwu Liu, Wenguo Zhang, Jian Wang
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引用次数: 0
期刊
International Conference on Bio-inspired Computing, Theories and Applications : [proceedings]. International Conference on Bio-inspired Computing, Theories and Applications
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