前者比如这两篇文章Count-based exploration with neural density models、
and Rajiv Shah. 2020. VolTAGE: Volatility forecasting via text-audio fusion with graph convolution networks for earnings calls. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 8001– 8013.
GraphQL langchain_community.tools.graphql.tool.BaseGraphQLTool 查询GraphQL API的工具。 HuggingFace Hub Tools 和HuggingFace Hub 交互的多个工具,包括获取某个任务下载最多的模型名称。 Human as a tool langchain_community.tools.human.tool.HumanInputRun 由人输出结果的工具。 IFTTT WebHooks langchain_commun...
decentralized policies that operate based on local observations and messages received from network neighbors Graph Neural Networks a scalable framework that can naturally process information within the coordination graph in an expressive manner. Graph neural networks (GNNs) are a fundamental tool for handli...
based on the comparisons with previous work:(1)we realize feasible and dynamic adjacent information fusion using GraphSAGE(i.e.,Graph SAmple and aggreGatE),which is the first time this method has been used to deal with the cooperative planning problem,and(2)a task-oriented sampling method is ...
marks like ImageNet (Russakovsky et al.,2015), GLUE (Wang et al.,2019), and the benchmarks in graph learning (Dwivedi et al.,2023; Hu et al.,2020) have been pivotal to the rapid innovation in the fields of computer vision, natural language processing, and graph neural networks....
Multi-agent trajectory predictionGraph Neural NetworkUnderstanding social interactions between a vehicle and its surrounding agents enables effective path prediction... MN Azadani,A Boukerche - 《Ad Hoc Networks》 被引量: 0发表: 2023年 RETRACTED ARTICLE:3D motion trajectory prediction based on optical ...
Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems 2017, IEEE Transactions on Cybernetics Distributed Consensus of Second-Order Multi-Agent Systems with Heterogeneous Unknown Inertias and Control Gains under a Directed Graph 2016, IEEE ...
分别是基于状态计数的和基于状态预测误差的方法，前者比如这两篇文章Count-based exploration with neural ...
[3.6]Chapter 22 | Graph Neural Networks in Program Analysis [3.7]PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair (neurips.cc) [3.8]The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation: Cell...