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Author: Jimmy Lin

Learning about Q-Learning (Part 2): Double Q-Learning

30 January 2025 Jimmy Lin Leave a comment

In the previous blog, we talked briefly about tabular Q-learning, however this method can be prone to noises within reward…

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Filed under: Dynamic Programming, Q-Learning, Reinforcement Learning

Learning about Q-Learning (Part 1): Tabular Q-Learning

27 January 2025 Jimmy Lin Leave a comment

Often times whether we are thinking about individuals or as a business, we may have to make decisions while considering…

Continue Reading →

Filed under: Dynamic Programming, Q-Learning, Reinforcement Learning

Welcome to my blog section

23 January 2025 Jimmy Lin Leave a comment

In this section, I will mostly talk about any projects I have worked on or am working on, for the…

Continue Reading →

Recent Posts

  • Learning about Q-Learning (Part 2): Double Q-Learning
    by Jimmy Lin
    30 January 2025
    In the previous blog, we talked briefly about tabular Q-learning, however this method can be prone to noises within reward realisations. In this blog, we briefly cover two extensions to Q-learning, and how these ideas can be further extended in a more complex setting. One way…
  • Learning about Q-Learning (Part 1): Tabular Q-Learning
    by Jimmy Lin
    27 January 2025
    Often times whether we are thinking about individuals or as a business, we may have to make decisions while considering future events and decision times. An example could be whether we decide to spend money today, or save money for tomorrow. This can be modelled by…
  • Welcome to my blog section
    by Jimmy Lin
    23 January 2025
    In this section, I will mostly talk about any projects I have worked on or am working on, for the STOR-i programme or at my free time. There may occasionally be off-topic posts here and there for any interesting update or events. Stay tuned for more!
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