Recent content by Xuwu

Cool, just a minor suggestion: it might be good to optimize the layout of the search bar and the tiers. I'm not sure if it's because of my monitor's aspect ratio, but they look a bit cluttered. 好的，只是个小建议：优化搜索栏和分层布局可能会更好。我不确定是不是因为显示器的宽高比，但它们看起来有点杂乱。

OK, thank you very much.

Hello friend, I think your project is fantastic. I previously attempted something similar, but my methods were far less efficient compared to yours. I would like to ask you a few questions regarding your methodology: How do you filter the matches? How do you determine the specific tournament...

Cool team!

China

Corvikafka

Yes, I understand that. I was referring to how I've seen some people intentionally run slower than Toxapex, so that the opponent can't use Recover after the Endeavor, and subsequently kill it with Toxic. I'm not sure if this is necessary.

Thanks for the team. I noticed that some Araquanid builds choose to be slower than Toxapex. Is this necessary? Also, the Enamorus is missing 4 EVs in the link. Although it's not a big deal, it would still be better to add them.

SCL WEEK9 You can see last week's match preview by downloading the file and opening it with a browser. You can view more information by checking the checkbox at the top.

Here's my line of thinking: First, gather a large amount of match data. While the eval.rs function is already very smart and handles crucial non-linear interactions (like checking for Guts in evaluate_burned, or HeavyDutyBoots in evaluate_hazards), its "values" are still built on a set of...

Congrats to Lacks for taking the win!

Thank you very much for your patient reply. My current setup is the 7000+14 combination, and it feels like it's working quite well. However, based on what you said, I'll need to reduce it and test again. I've run extensive tests in the past few days and achieved a peak of 1930+ (Silver Badge)...

I've tried this project and feel it has considerable potential. Would you be able to tell me how to set the optimal search-time-ms and search-parallelism? Additionally, I read the evaluation function in your poke-engine and would like to ask how you selected and set the values inside it.

Given my time and skill constraints, I wasn't able to deeply analyze every game. Nonetheless, I've generated visualizations and usage stats for last week's Gen9 OU matches, which I hope will help anyone looking to watch the replays. I've highlighted the winner in light blue (not sure if this...

Organizing matches and writing battle analyses like these is incredibly draining. Thank you for your diligent efforts.