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Dear author, your work is excellent!!!
I am very interested in the part about how the large model guides the reward design of reinforcement learning. I hope to have further exchanges.
Best wishes!
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航哥牛逼
FLYGL updated
3 weeks ago
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Very good work, thanks to the author for his contribution to the field of domain generalization
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@jtfedd, I just wanted to say thank you for sharing this repo in the open. I dropped back in today after rebuilding my M1 MBP with macOS Sequoia, and fired up the last commit, and it simply worked.
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Hey @fenaux I just wanted to let you know how much I appreciate you posting this solution to resolving the ball trajectory on the radar view. It's really excellent. I think it's really clever, and r…
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approval from zyw
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To avoid chaos like npm.
eg. Several packages authored by @gmlewis .
@gmlewis , Are you interested in that?
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I have read your scaffold-gs and octree-gs code, and for this project, this is six different types of gaussian models, which are respectively [2dgs/3dgs/scaffold-gs] + [basic/lod]. Can you make your r…