Showing 81 - 100 results of 139 for search '"The Ataris"', query time: 0.08s Refine Results
  1. 81
  2. 82
  3. 83
  4. 84
  5. 85
  6. 86
  7. 87
  8. 88
  9. 89
  10. 90
  11. 91

    Towards robust reinforcement learning by Paul, S

    Published 2020
    “…While this is not a major issue in settings where generating fresh interactions with the environment is cheap (for example, learning policies for playing Atari games, or simulated robotics tasks), this can preclude existing RL algorithms from being applied to problems where interactions with the environment are significantly more expensive.…”
    Thesis
  12. 92

    Understanding representation learning for deep reinforcement learning by Le Lan, C

    Published 2023
    “…We introduce a new notion called effective dimension of a representation that drives the generalization to unseen states and demonstrate its usefulness for value-based deep reinforcement learning in Atari games.</p> <p>The third contribution of this dissertation is a scalable algorithm to learn a state representation from a very large number of auxiliary tasks through deep learning. …”
    Thesis
  13. 93

    Learning State-Specific Action Masks for Reinforcement Learning by Ziyi Wang, Xinran Li, Luoyang Sun, Haifeng Zhang, Hualin Liu, Jun Wang

    Published 2024-01-01
    “…Experimental results obtained from Maze, Atari, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>μ</mi></semantics></math></inline-formula>RTS2 reveal a substantial acceleration in the RL learning process and noteworthy performance improvements facilitated by the introduced approach.…”
    Get full text
    Article
  14. 94

    A Hybrid End-to-End Control Strategy Combining Dueling Deep Q-network and PID for Transient Boost Control of a Diesel Engine with Variable Geometry Turbocharger and Cooled EGR by Bo Hu, Jiaxi Li, Shuang Li, Jie Yang

    Published 2019-09-01
    “…Deep reinforcement learning (DRL), which excels at solving a wide variety of Atari and board games, is an area of machine learning that combines the deep learning approach and reinforcement learning (RL). …”
    Get full text
    Article
  15. 95
  16. 96
  17. 97
  18. 98
  19. 99
  20. 100