Abstract: This article presents an efficient method for solving the optimal tracking control policy of unmanned surface vehicles (USVs) using a hybrid adaptive dynamic programming (ADP) approach. This ...
Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
A lightweight framework that gives language models (LMs) a persistent, evolving memory during inference time. Dynamic Cheatsheet (DC) endows black-box language models with the ability to store and ...
Abstract: This 1 paper 2 solves an enhanced adaptive dynamic programming (ADP)-based collision-free enclosing learning control for Unmanned Aerial Vehicles (UAVs) to move around a specified target ...
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