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To do it on an app-by-app level, head to the main iOS Settings screen, then choose Privacy and Location Services, and find the app you're looking for. If you open up the Google app for iOS, tap the three dots lower right, and then choose Privacy and Security, you can stop Google from tracking your location on this particular device. Over on iOS, Google doesn't have as many deep hooks into the operating system, as you might expect. From there, you can specify what apps can access your location, camera, contacts, and more. If you'd rather restrict this on an app-by-app basis, go to Apps & notifications, then Advanced, then App permissions instead. Tap Location from the menu to turn off location tracking completely for the Android device you're using. Expect to see purchases and reservations show up here too. Tap Google Account to get to the pages we've already looked at above, but on your smartphone tap Ads to opt out of personalized ads specifically on your phone or tap Search, Assistant & Voice to see what Google Assistant has on you. On Android, you can open up Settings then pick Google to tweak some data-tracking options. Try "my purchases," "my flights," "my trips," or "my bills," for example-all this data is pulled from your Gmail account, and obviously doesn't show up for anyone else when they search Google. You can see more of this data here, or search for it on the Google search page, if you're signed in. This has been going on for a long time, and has been well documented in the past, though it's recently been the subject of a flurry of news reports. That's not quite everything: Google also keeps tabs on Gmail messages to monitor your purchases, your trips, your flights, and your upcoming bills. These measures will stop activity showing up in your Google account. You do have options when it comes to temporarily stopping Google tracking you, as well-staying signed out when using YouTube for example, not signing into Google Chrome, or using incognito mode when searching and browsing in Chrome. Both are structured in the same way as Voice & Audio Activity, with options to erase records one by one, a day at a time, or all together via the Delete activity by link, if you click Manage activity. The final two sections cover Google's video platform, and have self-explanatory names: YouTube Search History and YouTube Watch History. Since the first two are basically binary, we're going to focus on that third option. Ultimately, your choice is either to trust Google to use all this data responsibly (you can view the privacy policy here), not use Google services at all, or limit the information it can gather about you. Google would say its data collection policies improve its services-helping you find a restaurant similar ones you've liked previously, say-whereas users might disagree.Ī lot of the data we're going to talk about here is only visible to you, or used in a limited way to make ads more relevant to you. It's worth emphasizing first that we're really dealing with two topics: The amount of data Google collects on you, which is a lot, and what Google then does with it. It's an extensive set of data, but you can take more control over what Google collects about you and how long the company keeps it. You're probably aware that Google keeps tabs on what you're up to on its devices, apps, and services-but you might not realize just how far its tracking reach extends, into the places you go, the purchases you make, and much more. It might take some trial and error before finding out what works best for your wrists. When measuring your wrist circumference, subtract six inches from it so you have an accurate reading when you buy watches online. Watches with face sizes under 36 mm or over 40 mm are considered either women’s watches or unisex watches. However, there is one standard size referred to as “men’s watches,” which measure approximately 38mm-40mm in diameter (all across the world). The size of watches can vary from very small to very big – for example, a man’s watch will be larger than that of a woman’s! The face of the watch is where the dial, numbers, and hands are. Now, when you buy a watch, you’re going to have to take the watch’s face size into consideration. Look for watches with a diameter of 44mm, and 46mm.
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Ĭao Y, Kou Y, Li Z, Xu A (2023) Autonomous maneuver decision of UCAV air combat based on double deep Q network algorithm and stochastic game theory. IEEE Int Conference Tools with Artificial Intell 2019:1510–1514. Ĭao X, Wan H, Lin Y, Han S (2019) High-value prioritized experience replay for off-policy reinforcement learning. īerner C, Brockman G, Chan B, Cheung V, Dębiak P, Dennison C, Farhi D, Fischer Q, Hashme S, Hesse C, Józefowicz R, Gray S, Olsson C, Pachocki J, Petrov M, Pinto H, Raiman J, Salimans T, Schlatter J, Zhang S (2019) Dota 2 with large scale deep reinforcement learning. īergdahl J, Gordillo C, Tollmar K, Gisslén L (2021) Augmenting automated game testing with deep reinforcement learning. īayerlein H, Theile M, Caccamo M, Gesbert D (2021) Multi-UAV path planning for wireless data harvesting with deep reinforcement learning. īae J, Jung H, Kim S, Kim S, Kim Y-D (2023) Deep reinforcement learning-based air-to-air combat maneuver generation in a realistic environment. Īzar AT, Koubaa A, Ali Mohamed N, Ibrahim HA, Ibrahim ZF, Kazim M, Ammar A, Benjdira B, Khamis AM, Hameed IA, Casalino G (2021) Drone deep reinforcement learning: a review. Īustin F, Carbone G, Hinz H, Lewis M, Falco M (1991) Game theory for automated maneuvering during air-to-air combat. American Institute Aeronaut Astronautics. Īustin F, Carbone G, Falco M, Hinz H, Lewis M (1987) Automated maneuvering decisions for air-to-air combat. Īrulkumaran K, Deisenroth MP, Brundage M, Bharath AA (2017) Deep reinforcement learning: a brief survey. Īlpdemir MN (2022) Tactical UAV path optimization under radar threat using deep reinforcement learning. ĪlMahamid F, Grolinger K (2022) Autonomous unmanned aerial vehicle navigation using reinforcement learning: a systematic review. 2023–May–21Īkabari S, Menhaj MB, Nikravesh SK (2005) Fuzzy modeling of offensive maneuvers in an air-to-air combat. 2023–May–21Īir combat reinforcement learning. Finally, limitations of the considered model, as well as the possible future research direction for intelligent air combat, are also discussed.Īir Combat Evolution Project Overview. And the associated Python codes are available at /wangyyhhh, thus enabling a quick-start for researchers to build their own ACMD applications by slight modifications. The model establishment, program design, training methods and performance evaluation are described in detail. Then, a maneuver decision-making method based on one-to-one dogfight scenarios is proposed to enable UAV to win short-range air combat. And special attentions are given to the design of reward function, which is the core of DRL-based ACMD. It starts from the DRL itself and then extents to its application in ACMD. For this reason, this paper first provides a comprehensive literature review to help people grasp a whole picture of this field. However, as an emerging topic, there lacks a systematic review and tutorial. Deep reinforcement learning (DRL), which is suitable for sequential decision-making process, provides a powerful solution tool for air combat maneuver decision-making (ACMD), and hundreds of related research papers have been published in the last five years. During the operation, UAVs are expected to perform agile and safe maneuvers according to the dynamic mission requirement and complicated battlefield environment. Nowadays, various innovative air combat paradigms that rely on unmanned aerial vehicles (UAVs), i.e., UAV swarm and UAV-manned aircraft cooperation, have received great attention worldwide. Fixed compatibility problems with different browsers including Internet Explorer 11, Microsoft Edge, all Mozilla Firefox and Google Chrome versions. It gives you options to download youtube or other videos directly from your browser with IDM extentions and plugins. 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