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  2. State–action–reward–state–action - Wikipedia

    en.wikipedia.org/wiki/State–action–reward...

    t. e. State–action–reward–state–action ( SARSA) is an algorithm for learning a Markov decision process policy, used in the reinforcement learning area of machine learning. It was proposed by Rummery and Niranjan in a technical note [ 1] with the name "Modified Connectionist Q-Learning" (MCQ-L). The alternative name SARSA, proposed by ...

  3. Q-learning - Wikipedia

    en.wikipedia.org/wiki/Q-learning

    Machine learningand data mining. Q-learning is a model-free reinforcement learning algorithm to learn the value of an action in a particular state. It does not require a model of the environment (hence "model-free"), and it can handle problems with stochastic transitions and rewards without requiring adaptations. [ 1]

  4. Coupon collector's problem - Wikipedia

    en.wikipedia.org/wiki/Coupon_collector's_problem

    In probability theory, the coupon collector's problem refers to mathematical analysis of "collect all coupons and win" contests. It asks the following question: if each box of a given product (e.g., breakfast cereals) contains a coupon, and there are n different types of coupons, what is the probability that more than t boxes need to be bought ...

  5. 5 Things You Can Buy at Deep Discounts This November - AOL

    www.aol.com/5-things-buy-deep-discounts...

    Here are some of the most popular items on deep discount in November, per Consumer Reports. Also: 10 of the Most Expensive Luxury Brands Online in 2023 Laptops and Computers on Sale in November

  6. Linux - Wikipedia

    en.wikipedia.org/wiki/Linux

    The availability of a high-level language implementation of Unix made its porting to different computer platforms easier. [40] Due to an earlier antitrust case [specify] forbidding it [specify] from entering the computer business, AT&T licensed the operating system's source code as a trade secret to anyone who asked.

  7. Wikipedia - Wikipedia

    en.wikipedia.org/wiki/Wikipedia

    Wikipedia is an online encyclopedia that allows volunteers to create and edit articles, hosted by the Wikimedia Foundation.

  8. Machine learning in video games - Wikipedia

    en.wikipedia.org/.../Machine_learning_in_video_games

    Artificial intelligence and machine learning techniques are used in video games for a wide variety of applications such as non-player character (NPC) control and procedural content generation (PCG). Machine learning is a subset of artificial intelligence that uses historical data to build predictive and analytical models.

  9. Glossary of video game terms - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_video_game_terms

    See also. 0–9. 1CC. Abbreviation of one-credit completion or one-coin clear. To complete an arcade (or arcade-style) game without using continues. [ 1] 1-up. An object that gives the player an extra life (or attempt) in games where the player has a limited number of chances to complete a game or level. [ 2]

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