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Abstract: The main aim of this research study is to provide a complex machine learning framework for Multi-Objective, Multi-Product, and Multi-Period Supply Chain Optimization (M3 SCO). We used a ...
Abstract: In multi-UAV air combat, traditional reinforcement learning (RL) struggles with high computational demands and policy learning inefficiencies arising from complex mission tasks and intensive ...
This repository contains the implementation of the MH-LVC model proposed in the paper "MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding", presented at ICCV ...