Essays about: "DDPG"
Showing result 6 - 10 of 13 essays containing the word DDPG.
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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)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
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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)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
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8. Generation and Detection of Adversarial Attacks for Reinforcement Learning Policies
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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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 teknikAbstract : 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
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10. Intelligent control of shared electric vehicle charging robots
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
