Knowledge Commons of Institute of Automation,CAS
Multi-Scale Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning | |
Zhang, Duzhen1,2![]() ![]() ![]() | |
2022-06-28 | |
会议名称 | Proceedings of the AAAI Conference on Artificial Intelligence (AAAI2022) |
会议日期 | February 22–March 1, 2022 |
会议地点 | Online |
摘要 | With the help of deep neural networks (DNNs), deep reinforcement learning (DRL) has achieved great success on many complex tasks, from games to robotic control. Compared to DNNs with partial brain-inspired structures and functions, spiking neural networks (SNNs) consider more biological features, including spiking neurons with complex dynamics and learning paradigms with biologically plausible plasticity principles. Inspired by the efficient computation of cell assembly in the biological brain, whereby memory-based coding is much more complex than readout, we propose a multiscale dynamic coding improved spiking actor network (MDC-SAN) for reinforcement learning to achieve effective decision-making. The population coding at the network scale is integrated with the dynamic neurons coding (containing 2nd-order neuronal dynamics) at the neuron scale towards a powerful spatial-temporal state representation. Extensive experimental results show that our MDC-SAN performs better than its counterpart deep actor network (based on DNNs) on four continuous control tasks from OpenAI gym. We think this is a significant attempt to improve SNNs from the perspective of efficient coding towards effective decision-making, just like that in biological networks. |
收录类别 | EI |
语种 | 英语 |
是否为代表性论文 | 否 |
七大方向——子方向分类 | 类脑模型与计算 |
国重实验室规划方向分类 | 认知机理与类脑学习 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57352 |
专题 | 复杂系统认知与决策实验室_听觉模型与认知计算 |
通讯作者 | Zhang, Tielin; Xu, Bo |
作者单位 | 1.Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China 3.Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhang, Duzhen,Zhang, Tielin,Jia, Shuncheng,et al. Multi-Scale Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning[C],2022. |
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 | ||
19879-Article Text-2(2249KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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