Essays about: "DDPG"

Showing result 1 - 5 of 12 essays containing the word DDPG.

  1. 1. Deep Reinforcement Learning Approach to Portfolio Optimization

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Lorik Sadriu; [2022]
    Keywords : Deep Reinforcement Learning; Portfolio Optimization; Portfolio performance; EMH; Business and Economics;

    Abstract : This paper evaluates whether a deep reinforcement learning (DRL) approach can be implemented, on the Swedish stock market, to optimize a portfolio. The objective is to create and train two DRL algorithms that can construct portfolios that will be benchmarked against the market portfolio, tracking OMXS30, and the two conventional methods, the naive portfolio, and minimum variance portfolio. READ MORE

  2. 2. Link Adaptation in 5G Networks : Reinforcement Learning Framework based Approach

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

    Author : Siva Satya Sri Ganesh Seeram; [2022]
    Keywords : Link Adaptation; OLLA; AMC; Reinforcement Learning; DDPG; BLER; Länkanpassning; OLLA; AMC; förstärkningsinlärning; DDPG; BLER;

    Abstract : Link Adaptation is a core feature introduced in gNodeB (gNB) for Adaptive Modulation and Coding (AMC) scheme in new generation cellular networks. The main purpose of this is to correct the estimated Signal-to-Interference-plus-Noise ratio (SINR) at gNB and select the appropriate Modulation and Coding Scheme (MCS) so the User Equipment (UE) can decode the data successfully. READ MORE

  3. 3. Spiking Reinforcement Learning for Robust Robot Control Under Varying Operating Conditions

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

    Author : Philipp Mondorf; [2022]
    Keywords : ;

    Abstract : Over the last few years, deep reinforcement learning (RL) has gained increasing popularity for its successful application to a variety of complex control and decision-making tasks. As the demand for deep RL algorithms deployed in challenging real-world environments grows, their robustness towards uncertainty, disturbances and perturbations of the environment becomes more and more important. READ MORE

  4. 4. Deep Reinforcement Learning for Dynamic Grasping

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Andreas Ström; [2022]
    Keywords : Deep Reinforcement Learning; Dynamic Grasping; DDPG; HER; Robotics;

    Abstract : Dynamic grasping is the action of, using only contact force, manipulating the position of a moving object in space. Doing so with a robot is a quite complex task in itself, but is one with wide-ranging applications. READ MORE

  5. 5. 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