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    reinforcement

    US /ˌriɪnˈfɔrsmənt, -ˈfors-/

    ・

    UK /ˌri:ɪn'fɔ:smənt/

    B2TOEIC
    n.NounAct of strengthening or supporting an army
    The commander sent a reinforcement of 1000 men to the soldiers already there
    n.NounAct of strengthening or adding support to
    My husband gave the reinforcement I needed to finish my paper
    n.NounThe act of making something stronger, often by adding extra material or support.
    The bridge needed reinforcement to withstand the increased traffic.
    n.NounAdditional troops or equipment sent to support a military operation.
    The troops received reinforcements just in time to defend the city.
    n.NounIn psychology, a stimulus or event that strengthens or increases the probability of a specific response.
    Positive reinforcement is more effective than punishment in training animals.
    n.NounMaterials used to strengthen a structure, such as steel bars in concrete.
    The concrete contained steel reinforcement to increase its tensile strength.

    Video subtitles

    6 Positive Discipline Techniques to Improve Child Behavior | Dad University

    13:526 Positive Discipline Techniques to Improve Child Behavior | Dad University
    • Number one, positive reinforcement.

      Number one, positive reinforcement.

    • Positive reinforcement is verbalizing your gratitude towards the child for the positive behavior that they are displaying.

      Positive reinforcement is verbalizing your gratitude towards the child for the positive behavior that they are displaying.

    B1

    The Rise of AI in Factories

    08:38The Rise of AI in Factories
    • Today we use very sophisticated algorithms all the way from deep neural networks through reinforcement learning all the way now to transformers and the more modern generative AI solutions in order to not just tell you something is wrong, but also help guide the technician in exactly what they need to do in order to fix the issues.

      Today we use very sophisticated algorithms all the way from deep neural networks through reinforcement learning all the way now to transformers and the more modern generative AI solutions in order to not just tell you something is wrong, but also help guide the technician in exactly what they need to do in order to fix the issues.

    • Today, we use very sophisticated algorithms all the way from deep neural networks through reinforcement learning, all the way now to transformers and the more modern generative AI solutions in order to not just tell you something is wrong but also help guide the technician in exactly what they need to do in order to fix the issues.

      Today, we use very sophisticated algorithms all the way from deep neural networks through reinforcement learning, all the way now to transformers and the more modern generative AI solutions in order to not just tell you something is wrong but also help guide the technician in exactly what they need to do in order to fix the issues.

    B1

    Does Rebar Rust?

    07:49Does Rebar Rust?
    • Reinforcement within concrete creates a composite material, with the concrete providing strength

      Reinforcement within concrete creates a composite material, with the concrete providing strength

    • Reinforcement within concrete creates a composite material, with concrete providing strength against compressive stress while the reinforcement provides strength against tensile stress.

      Reinforcement within concrete creates a composite material, with concrete providing strength against compressive stress while the reinforcement provides strength against tensile stress.

    B2

    Inside Disney's Secret Test Lab

    16:31Inside Disney's Secret Test Lab
    • This is reinforcement learning.

      This is reinforcement learning.

    • This is reinforcement learning.

      This is reinforcement learning.

    B1

    【中英字幕】NVIDIA GTC 2025發表機器人12分鐘全精華!黃仁勳 Keynote 點名的下一個大市場

    14:44【中英字幕】NVIDIA GTC 2025發表機器人12分鐘全精華!黃仁勳 Keynote 點名的下一個大市場
    • Developers use Isaac Lab to post-train the robot policies with the augmented dataset, and let the robots learn new skills by cloning behaviors through imitation learning, or through trial and error with reinforcement learning AI feedback.

      Developers use Isaac Lab to post-train the robot policies with the augmented dataset, and let the robots learn new skills by cloning behaviors through imitation learning, or through trial and error with reinforcement learning AI feedback.

    • Developers use Isaac Lab to post-train the robot policies with the augmented dataset and let the robots learn new skills by cloning behaviors through imitation learning or through trial and error with reinforcement learning AI feedback.

      Developers use Isaac Lab to post-train the robot policies with the augmented dataset and let the robots learn new skills by cloning behaviors through imitation learning or through trial and error with reinforcement learning AI feedback.

    B1

    How useful is AI for programming? | Marc Andreessen and Lex Fridman

    12:42How useful is AI for programming? | Marc Andreessen and Lex Fridman
    • And so there's all these methods of synthetic data and self-training and reinforcement learning that for sure you can do with coding.

      And so there's all these methods of synthetic data and self-training and reinforcement learning that for sure you can do with coding.

    • so, you know, there's all these methods of, you know, synthetic data and self-training and reinforcement learning that for sure you can do with, with coding.

      so, you know, there's all these methods of, you know, synthetic data and self-training and reinforcement learning that for sure you can do with, with coding.

    B1

    What is DeepSeek? AI Model Basics Explained

    10:22What is DeepSeek? AI Model Basics Explained
    • But this is where we began to see the introduction of using reinforcement learning with that model.

      But this is where we began to see the introduction of using reinforcement learning with that model.

    • But this is where we began to see the introduction of using reinforcement learning with that model.

      But this is where we began to see the introduction of using reinforcement learning with that model.

    B1

    Stop Worrying About What Other People Think Of You

    05:49Stop Worrying About What Other People Think Of You
    • Max tells me that I'm a star, but I love the positive reinforcement.

      Max tells me that I'm a star, but I love the positive reinforcement.

    • but I'd love the positive reinforcement.

      but I'd love the positive reinforcement.

    A2

    How To Actually Become Disciplined WITHOUT willpower… | The Leading Behaviour Expert Chase Hughes

    14:19How To Actually Become Disciplined WITHOUT willpower… | The Leading Behaviour Expert Chase Hughes
    • Plus the psychological reinforcement you get from the pursuit of the thing, minus the—you could say the psychological or perceived cost of the pursuit of the thing.

      Plus the psychological reinforcement you get from the pursuit of the thing, minus the—you could say the psychological or perceived cost of the pursuit of the thing.

    • Plus the psychological reinforcement you get from the pursuit of the thing minus the, you could say, the psychological or perceived cost of the pursuit of the thing.

      Plus the psychological reinforcement you get from the pursuit of the thing minus the, you could say, the psychological or perceived cost of the pursuit of the thing.

    B1

    What's the Difference: AI and AGI?

    04:38What's the Difference: AI and AGI?
    • Another type of AI is reinforcement learning, which learns through trial and error, primarily using feedback from its own actions and experiences, rather than from explicit teaching.

      Another type of AI is reinforcement learning, which learns through trial and error, primarily using feedback from its own actions and experiences, rather than from explicit teaching.

    • In the context of self-driving cars, reinforcement learning is used in simulated environments where the system learns to make decisions by experiencing virtual scenarios, thus improving its algorithms before ever hitting the real road.

      In the context of self-driving cars, reinforcement learning is used in simulated environments where the system learns to make decisions by experiencing virtual scenarios, thus improving its algorithms before ever hitting the real road.

    B1