Abstract: This article studies the prescribed-time Nash equilibrium (PTNE) seeking problem of the pursuit–evasion game (PEG) with second-order dynamics under the intermittent control (IC) strategy. To ...
According to Andrew Ng (@AndrewYNg), the new Agentic AI course on deeplearning.ai teaches practical skills for building AI agents, a rapidly growing area in the job market. The curriculum covers four ...
In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...
The current implementation of the breadth_first_search_shortest_path_2.py uses a Python list to simulate a queue. However, using a list for this purpose might be ...
Abstract: An undirected weighted graph (UWG) is the fundamental data representation in various real applications. A graph convolution network is frequently utilized for representation learning to a ...
A. Schematic of Heron’s two levels of operation. Left shows a Knowledge Graph made of Nodes with Names, named Parameters and named Input/Output points. Nodes are connected with links (Edges) that ...
Check approxCCDegree.cpp for the code, and sample.cpp for a sample implementation. Let n u be the number of nodes in the connected component where the node u is located. The number of connected ...
In this tutorial, we will discover how to harness the power of an advanced AI Agent, augmented with both Python execution and result-validation capabilities, to tackle complex computational tasks. By ...
Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...
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