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README.md
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license: mit
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This
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__Counter-Strike Deathmatch with Large-Scale Behavioural Cloning__
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[Tim Pearce](https://teapearce.github.io/), [Jun Zhu](https://ml.cs.tsinghua.edu.cn/~jun/index.shtml)
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IEEE Conference on Games (CoG) 2022 [⭐️ Best Paper Award!]
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- __Diffusion for World Modeling: Visual Details Matter in Atari, NeurIPS 2024__
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https://arxiv.org/pdf/2405.12399
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Eloi Alonso∗, Adam Jelley∗, Vincent Micheli, Anssi Kanervisto, Amos Storkey, Tim Pearce‡, François Fleuret‡
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Tweet here: https://twitter.com/EloiAlonso1/status/1844803606064611771
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license: mit
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size_categories:
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- 1M<n<10M
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This dataset contains video, action labels, and metadata from the popular video game CS:GO.
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Past usecases include imitation learning, behavioral cloning, world modeling, video generation.
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The paper presenting the dataset:
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__Counter-Strike Deathmatch with Large-Scale Behavioural Cloning__
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[Tim Pearce](https://teapearce.github.io/), [Jun Zhu](https://ml.cs.tsinghua.edu.cn/~jun/index.shtml)
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IEEE Conference on Games (CoG) 2022 [⭐️ Best Paper Award!]
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- __Diffusion for World Modeling: Visual Details Matter in Atari, NeurIPS 2024__
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https://arxiv.org/pdf/2405.12399
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Eloi Alonso∗, Adam Jelley∗, Vincent Micheli, Anssi Kanervisto, Amos Storkey, Tim Pearce‡, François Fleuret‡
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Tweet here: https://twitter.com/EloiAlonso1/status/1844803606064611771
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