Essays about: "DDPG"

Showing result 6 - 10 of 13 essays containing the word DDPG.

  1. 6. Benchmarking Deep Reinforcement Learning on Continuous Control Tasks : AComparison of Neural Network Architectures and Environment Designs

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

    Author : Daniel Sahlin; [2022]
    Keywords : Deep learning; Reinforcement learning; Reward functions; Neural networks; Furuta pendulum; Djupinlärning; Förstärkningsinlärning; Belöningsfunktioner; Neurala nätverk; Furuta-pendel;

    Abstract : Deep Reinforcement Learning (RL) has received much attention in recent years. This thesis investigates how reward functions, environment termination conditions, Neural Network (NN) architectures, and the type of the deep RL algorithm aect the performance for continuous control tasks. READ MORE

  2. 7. Deep Reinforcement Learning for Building Control : A comparative study for applying Deep Reinforcement Learning to Building Energy Management

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

    Author : Wanfu Zheng; [2022]
    Keywords : Deep Reinforcement Learning; Building Control; Building Energy Management; Optimization; Thermal Discomfort; Operational Cost; Deep Reinforcement Learning; byggnadskontroll; Building Energy Management; optimering; termiskt obehag; driftskostnader;

    Abstract : Energy and environment have become hot topics in the world. The building sector accounts for a high proportion of energy consumption, with over one-third of energy use globally. A variety of optimization methods have been proposed for building energy management, which are mainly divided into two types: model-based and model-free. READ MORE

  3. 8. Generation and Detection of Adversarial Attacks for Reinforcement Learning Policies

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

    Author : Axel Drotz; Markus Hector; [2021]
    Keywords : Deep Reinforcement Learning; Adversarial Attacks; Adversarial Attack Detection; Fast Gradient Sign Method; Deep Deterministic Policy Gradient; Deep Q-Learning; Likelihood Ratio Test; CUSUM;

    Abstract : In this project we investigate the susceptibility ofreinforcement rearning (RL) algorithms to adversarial attacks.Adversarial attacks have been proven to be very effective atreducing performance of deep learning classifiers, and recently,have also been shown to reduce performance of RL agents. READ MORE

  4. 9. A Comparison Between Deep Q-learning and Deep Deterministic Policy Gradient for an Autonomous Drone in a Simulated Environment

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Dennis Tagesson; [2021]
    Keywords : ;

    Abstract : This thesis investigates how the performance between Deep Q-Network (DQN) with a continuous and discrete state- and action space, respectively, and Deep Deterministic Policy Gradient (DDPG) with a continuous state- and action space compare when trained in an environment with a continuous state- and action space. The environment was a simulation where the task for the algorithms was to control a drone from the start position to the location of the goal. READ MORE

  5. 10. Intelligent control of shared electric vehicle charging robots

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

    Author : Mohd Aiman Khan; [2021]
    Keywords : ;

    Abstract : Electric Vehicles (EVs) sales have grown at an exponential rate all over the world. However, the industry still faces many challenges like high cost of electric vehicles, range anxiety and lack of access to efficient charging infrastructure. READ MORE