Essays about: "förstärkt inlärning"

Showing result 1 - 5 of 13 essays containing the words förstärkt inlärning.

  1. 1. Comparing Four Modelling Methods for the Simulation of a Soft Quadruped Robot

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

    Author : Karin Lagrelius; [2022]
    Keywords : Soft Robotics; Modelling; Simulation; Lumped-parameter-method; Quadruped; Soft Actuator; Matlab Simulink; Matlab Simscape Multibody; Mjuk robotik; Modellering; Simulering; Klumpparametermetoden; Fyrfota; Mjukt ställdon; Matlab Simulink; Matlab Simscape Multibody;

    Abstract : A soft quadruped robot is being developed at the Department of Machine Design and Department of Production Engineering at KTH. The legs of the robot consist of four continuum actuators that can achieve complex movements. In order to efficiently develop gaits for the robot, reinforcement learning will be used. READ MORE

  2. 2. The effects of multistep learning in the hard-exploration problem

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

    Author : Jacob Friman; [2022]
    Keywords : ;

    Abstract : Reinforcement learning is a machine learning field which has received revitalised interest in later years due to many success stories and advancements in deep reinforcement learning. A key part in reinforcement learning is the need for exploration of the environment so the agent can properly learn the best policy. READ MORE

  3. 3. Stratego Using Deep Reinforcement Learning and Search

    University essay from KTH/Matematisk statistik

    Author : Anton Falk; [2021]
    Keywords : ;

    Abstract : Algorithmic game theory is a research area concerned with developing algorithms for solving games using game-theoretic concepts, with many applications in areas where games are used as models to achieve knowledge. In the last decades, numerous game-playing bots have been created, and in many games, they outperform top humans. READ MORE

  4. 4. Scaling up Maximum Entropy Deep Inverse Reinforcement Learning with Transfer Learning

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

    Author : Emil Broqvist Widham; [2020]
    Keywords : ;

    Abstract : In this thesis an issue with common inverse reinforcement learning algorithms is identified, which causes them to be computationally heavy. A solution is proposed which attempts to address this issue and which can be built upon in the future. READ MORE

  5. 5. Intelligent Charging Algorithm for Electric Vehicles

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

    Author : Jacob Sörme; [2020]
    Keywords : ;

    Abstract : Electric vehicles play an important role in creating a fossil free transport sector. Making the vehicles efficient involves many new areas outside the manufacturing process, such as chargers, power grids and electricity markets. READ MORE