CASIA OpenIR  > 类脑智能研究中心
A Basal Ganglia Network Centric Autonomous Learning Model and Its Application in Unmanned Aerial Vehicle
Yi, Zeng1,2; Guixiang, Wang1; Bo, Xu1,2; Yi Zeng
2015-12
会议名称The 7th International Conference on Brain-inspired Cognitive System
会议录名称Conferences on the 7th International Conference on Brain-inspired Cognitive System
会议日期2015年12月11-13日
会议地点安徽合肥
摘要Autonomous learning paradigms bring flexibility and generality for machine learning, while most of them are mathematical optimization driven approaches, and lack of cognitive evidence. In order to provide a more cognitive driven foundation, in this paper, we develop a basal ganglia network centric autonomous learning model. Compared to existing work on modeling basal ganglia, the work in this paper is unique from the following perspective: (1) Our work takes the orbitofrontal cortex (OFC) into the consideration. The orbitofrontal cortex is critical in decision making because of its responsibility for reward representation and is critical in control of the learning process, while most of the basal ganglia models do not include the orbitofrontal cortex; (2) To compensate the inaccurate memory of numeric values, a method called precise encoding is proposed in this paper to help the working memory remember most of important values during the learning process.  The method combines vector convolution and the idea of storage by digit bit and is efficient for accurate value storage; (3) In the information coding process, the Hodgkin-Huxley model is used to obtain a more biological plausible description of action potential with plenty of ionic activities. To validate the effectiveness of the proposed model, we apply our basal ganglia network centric autonomous learning model to the Unmanned Aerial Vehicle (UAV) autonomous learning process in a 3D environment. We build the state, action and reward space for the UAV in the environment. Experimental results show that our model is able to give the UAV the ability of free exploration in the environment after an average of 41 trainings.
关键词Autonomous Learning Model Basal Ganglia Network Precise Encoding Uav Autonomous Learning Reinforcement Learning Interactive Environment.
学科领域交叉与边缘领域的力学
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12618
专题类脑智能研究中心
通讯作者Yi Zeng
作者单位1.Institute of Automation, Chinese Academy of Science
2.CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Yi, Zeng,Guixiang, Wang,Bo, Xu,et al. A Basal Ganglia Network Centric Autonomous Learning Model and Its Application in Unmanned Aerial Vehicle[C],2015.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
A Basal Ganglia Netw(6365KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Yi, Zeng]的文章
[Guixiang, Wang]的文章
[Bo, Xu]的文章
百度学术
百度学术中相似的文章
[Yi, Zeng]的文章
[Guixiang, Wang]的文章
[Bo, Xu]的文章
必应学术
必应学术中相似的文章
[Yi, Zeng]的文章
[Guixiang, Wang]的文章
[Bo, Xu]的文章
相关权益政策
暂无数据
收藏/分享
文件名: A Basal Ganglia Network Centric Autonomous Learning Model and Its Application in Unmanned Aerial Vehicle.doc
格式: Microsoft Word
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。