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  **The first reinforcement learning agent to finish the whole game in one continuous run.** A network by krzim
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  ([GitHub](https://github.com/krzim), [Hugging Face](https://huggingface.co/zimmerk4)), trained in a JAX simulator of
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  the game, climbs the real Steam game from bottom to top with no save/load: 17 of 20 wins in krzim's test. Below, one
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- of its wins (2 min 34 s); the circle in the corner is its mouse input.
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  <video controls src="https://huggingface.co/miiwater/goi-rl/resolve/main/videos/krzim-network-wins.mp4"></video>
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  **The first reinforcement learning agent to finish the whole game in one continuous run.** A network by krzim
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  ([GitHub](https://github.com/krzim), [Hugging Face](https://huggingface.co/zimmerk4)), trained in a JAX simulator of
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  the game, climbs the real Steam game from bottom to top with no save/load: 17 of 20 wins in krzim's test. Below, one
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+ of its wins (1 min 35 s); the circle in the corner is its mouse input.
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  <video controls src="https://huggingface.co/miiwater/goi-rl/resolve/main/videos/krzim-network-wins.mp4"></video>
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