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The exploration-exploitation dilemma, also known as the explore-exploit tradeoff, is a fundamental concept in decision-making that arises in many domains. [1] [2] It is depicted as the balancing act between two opposing strategies. Exploitation involves choosing the best option based on current knowledge of the system (which may be incomplete ...
Anti-access/area denial (or A2/AD) is a military strategy to control access to and within an operating environment. [2] In an early definition, anti-access refers to those actions and capabilities, usually long-range, designed to prevent an opposing force from entering an operational area.
Site exploitation (SE), synonymous with tactical site exploitation [1] and sensitive site exploitation (SSE), is a military term used by the United States to describe "collecting information, material, and persons from a designated location and analyzing them to answer information requirements, facilitate subsequent operations, or support criminal prosecution."
In cartography, a trap street is a fictitious entry in the form of a misrepresented street on a map, often outside the area the map nominally covers, for the purpose of "trapping" potential plagiarists of the map who, if caught, would be unable to explain the inclusion of the "trap street" on their map as innocent.
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One such method is -greedy, where < < is a parameter controlling the amount of exploration vs. exploitation. With probability 1 − ε {\displaystyle 1-\varepsilon } , exploitation is chosen, and the agent chooses the action that it believes has the best long-term effect (ties between actions are broken uniformly at random).
How To Make Granny’s Boozy Balls. To make 2 dozen balls, you’ll need: 1 3/4 cups vanilla wafer crumbs (about 6.1 ounces), plus more as needed
A row of slot machines in Las Vegas. In probability theory and machine learning, the multi-armed bandit problem (sometimes called the K-[1] or N-armed bandit problem [2]) is a problem in which a decision maker iteratively selects one of multiple fixed choices (i.e., arms or actions) when the properties of each choice are only partially known at the time of allocation, and may become better ...