Name: lineartimevariant
Type: User
Company: Intelligent Radio Access Technology Lab (IRAT)
Bio: R&D Algorithm Engineer, JCAS, 6G
Specialization : Network intelligence, Edge Computing, Deep Learning, Signal Processing, CUDA, Distributed Computing
Location: Taiwan
Blog: https://irat.ee.nthu.edu.tw/#home
lineartimevariant's Projects
Code for the paper "Learning to Schedule Joint Radar-Communication Requests for Optimal Information Freshness" as published in IEEE Transactions on Vehicular Technology 2021.
Reinforcement learning based scheduling algorithm for optimizing AoI in URLLC networks
ATSResume | Get hired with an ATS-optimized resume
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
Code for the paper "Learning to Schedule Joint Radar-Communication with Deep Multi-Agent Reinforcement Learning" to be published in the IEEE Transactions on Vehicular Technology.
The temp_salinity.csv file contains data of ocean, its temperature and salinity. We have to predict the salinity of the water based on its temperature.
LLM training in simple, raw C/CUDA
Simulations of Model Predictive Control (MPC) for Three-Phase Inverter with Output LC Filter
Network classification for analyzing real time traffic
About solving the Taxi v2 from OpenAI using sarsa, sarsamax/q-learning, or expected sarsa
Welcome to the repository for the QoE Estimation and Adaptive Bitrate Streaming in Edge Computing Environments project! This project focuses on enhancing the Quality of Experience (QoE) for multimedia streaming applications in Edge Computing environments through advanced QoE estimation techniques and adaptive bitrate streaming.
Config files for my GitHub profile.
Implementing Different Types of Reinforcement-Learning-Algorithms using different environments
Implementations of recent research prototypes/demonstrations using MONAI.
Convolutional Neural Networks using Tensorflow with Cifar-100 dataset