Essays about: "TD3"

Found 4 essays containing the word TD3.

  1. 1. Voltage-Based Multi-step Prediction : Data Labeling, Software Evaluation, and Contrasting DRL with Traditional Prediction Methods

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Joakim Svensson; [2023]
    Keywords : Deep Reinforcement Learning; Multi-step Prediction; Time Series Forecasting; Djup Förstärkningsinlärning; Flerstegsprognos; Tidsserieprognos;

    Abstract : In this project, three primary problems were addressed to improve battery data management and software performance evaluation. All solutions used voltage values in time together with various device characteristics. Battery replacement labeling was performed using Hidden Markov Models. READ MORE

  3. 2. Reinforcement Learning for Hydrobatic AUVs

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Grzegorz Woźniak; [2022]
    Keywords : Deep Reinforcement learning; Deep learning; Optimal control; Hydrobatics; Deep Reinforcement learning; Deep learning; Optimal control; Hydrobatics;

    Abstract : This master thesis focuses on developing a Reinforcement Learning (RL) controller to perform hydrobatic maneuvers on an Autonomous Underwater Vehicle (AUV) successfully. This work also aims to analyze the robustness of the RL controller, as well as provide a comparison between RL algorithms and Proportional Integral Derivative (PID) control. READ MORE

  4. 3. Artificial Intelligence for Data Center Power Consumption Optimisation

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Lowe Lundin; [2021]
    Keywords : Artificial Intelligence; AI; Machine Learning; ML; data center; optimisation; energy optimisation; energy; power; power optimisation; climate control; reinforcement learning; Artificiell Intelligens; AI; Machine Learning; ML; datacenter; optimering; energioptimering; reinforcement learning;

    Abstract : The aim of the project was to implement a machine learning model to optimise the power consumption of Ericsson’s Kista data center. The approach taken was to use a Reinforcement Learning agent trained in a simulation environment based on data specific to the data center. READ MORE

  5. 4. Reinforcement Learning for Grid Voltage Stability with FACTS

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Joakim Oldeen; Vishnu Sharma; [2020]
    Keywords : Reinforcement learning; Machine learning; Q-learning; DQN; TD3; Electrical power systems; Voltage stability; Flexible alternating current transmission systems; FACTS;

    Abstract : With increased penetration of renewable energy sources, maintaining equilibrium between production and consumption in the world’s electrical power systems (EPS) becomes more and more challenging. One way to increase stability and efficiency in an EPS is to use flexible alternating current transmission systems (FACTS). READ MORE