Essays about: "Deep reinforcement learning"

Showing result 1 - 5 of 94 essays containing the words Deep reinforcement learning.

  1. 1. Adaptive network selection for moving agents using deep reinforcement learning

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

    Author : William Skagerström; [2021]
    Keywords : ;

    Abstract : With the rapid development and deployment of “Internet of Things”-devices comes a new era of benefits to increase the efficiency of our everyday lives. Many of these devices rely on having an established network connection in order to operate at peak performance, but this requirement could be hard to guarantee in the face of less supported infrastructure in certain parts of the world. READ MORE

  2. 2. Application of Deep Q-learning for Vision Control on Atari Environments

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik

    Author : Jim Öhman; [2021]
    Keywords : Reinforcement learning; Atari 2600; Deep Q-learning; Myopic Agents; Vision Control; Physics and Astronomy;

    Abstract : The success of Reinforcement Learning (RL) has mostly been in artificial domains, with only some successful real-world applications. One of the reasons being that most real-world domains fail to satisfy a set of assumptions of RL theory. READ MORE

  3. 3. Insights into Model-Agnostic Meta-Learning on Reinforcement Learning Tasks

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

    Author : Konstantinos Saitas-Zarkias; [2021]
    Keywords : Meta-Learning; Reinforcement Learning; Deep Learning;

    Abstract : Meta-learning has been gaining traction in the Deep Learning field as an approach to build models that are able to efficiently adapt to new tasks after deployment. Contrary to conventional Machine Learning approaches, which are trained on a specific task (e. READ MORE

  4. 4. Deep reinforcement learning for real-time power grid topology optimization

    University essay from Lunds universitet/Matematisk statistik

    Author : Jacob Rothschild; [2021]
    Keywords : Deep reinforcement learning; Dueling Deep Q-Network; electricity transmission network; real-time topology optimization; sustainable energy; Mathematics and Statistics;

    Abstract : In our pursuit of carbon neutrality, drastic changes to generation and consumption of electricity will cause new and complex demands on the power grid and its operators. A cheap, promising, and under-exploited mitigation is real-time power grid topology optimization (RTTO). READ MORE

  5. 5. Deep Reinforcement Learning for Autonomous Highway Driving Scenario

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

    Author : Neil Pradhan; [2021]
    Keywords : Deep reinforcement learning; Highway driving scenario; Tactical decision making; fuel reduction; high-level decision making; autonomous driving; Partially Observable Markov Decision Process POMDP .; Lärande om djupförstärkning; motorvägsscenario; taktiskt beslutsfattande; bränslereduktion; beslut på hög nivå; autonom körning; Partially Observable Markov Decision Process POMDP ;

    Abstract : We present an autonomous driving agent on a simulated highway driving scenario with vehicles such as cars and trucks moving with stochastically variable velocity profiles. The focus of the simulated environment is to test tactical decision making in highway driving scenarios. READ MORE