Replying to @Rolf_of_the_Son
Datou retweeted
Howdy, i'm Alec 👋
I'm a researcher focused on humanoid agility and control.
I use reinforcement learning to make physics-based characters run, climb, vault, slide, recover, handle objects, and more.
It is my goal to make embodied intelligence easier to direct, whether that be for humanoid robots or digital characters.
I'm also a co-author of Metatron, a research collaboration with NVIDIA exploring how motion goals can guide whole-body movement.
research.nvidia.com/labs/par…
This reel brings together some of what I've been working on over the last year. I post here daily, sharing my progress, my failures, and what I learn along the way.
If you're working on humanoid robots, animation, or games, feel free to say hi!
其实记忆还好,在我这不算痛点,agent当前最大的痛点是上下文管理,如果像对着一个人那样什么事情都说,agent就乱了,自己创建新对话或者注意要说什么,就得额外花心思。现在需要一个能什么都说,然后帮拉群帮跟进的agent,能回答的直接回答,复杂的事情新建群拉其他agent干活,老事情找到以前的群。
虽然我整天喷A厂吹逼,就事论事,我觉得这篇关于agent记忆的文章是我认为能经得起时间考验的,当然我这里说的是思想不是现阶段的工程实践。
anthropic.com/research/compo…
Replying to @coldmountainlab
还是想贴近现实,因为只有一个走位操作,如果走位就能割草,那就没有任何难度了。在考虑做成马里奥制造,主打关卡编辑,自己做一堆关卡太麻烦了。






