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Even though we won first place, we believe there is still huge room for improvement. We achieved a 26% q score and an 11–12% binary success rate. The main reasons the policy still fails are: - Dexterity issues (grasps, releases) - Progress errors in long sequences - Getting confused after entering out-of-distribution states
We open-sourced everything in our solution: the code, model weights, and a detailed tech report. Code: https://t.co/LLSd6VtbaE Weights: https://t.co/f3ZUF175rV Tech report: https://t.co/TeFiiTha0d I will also record a video walkthrough with more details later. Stay tuned 🎥
We open-sourced everything in our solution: the code, model weights, and a detailed tech report. Code: https://t.co/LLSd6VtbaE Weights: https://t.co/f3ZUF175rV Tech report: https://t.co/TeFiiTha0d I will also record a video walkthrough with more details later. Stay tuned 🎥
Data Science Director at Agoda | Ex-TOP-20 on Kaggle | Playing with robots for fun
A couple of days ago, I presented our 1st place solution for the 2025 BEHAVIOR Challenge at @NeurIPSConf . Now, we've open-sourced our solution: code, model weights, and a detailed tech report. Let me unpack what we did 👇
What is the BEHAVIOR Challenge? In this competition, we had to train a policy that could complete 50 robotic household tasks in a high-quality simulation. The policy controls a bimanual humanoid robot with a mobile base, and the tasks range from 1 to 14 minutes. Read more details in @drfeifei post: https://t.co/jDviv5d6pB
RT @andy_l_jones: So after all these hours talking about AI, in these last five minutes I am going to talk about: Horses. Engines, steam…
@AnthropicAI, ONEAI OECD, co-chair @indexingai, writer @ https://t.co/3vmtHYkIJ2 Past: @openai, @business @theregister. Neural nets, distributed systems, weird futures
RT @brendanh0gan: 🎄 Advent of Small ML: Day 9 Topic: GEPA vs. GRPO (Words vs. Weights )🎄 I've really become interested in prompt optimiza…
Asst professor @MIT EECS & CSAIL (@nlp_mit). Author of https://t.co/VgyLxl0oa1 and https://t.co/ZZaSzaRaZ7 (@DSPyOSS). Prev: CS PhD @StanfordNLP. Research @Databricks.
今日的 Small Win：一位退伍军人发邮件问是否能申请简单简历 https://t.co/xMu5JFI8xT 免费会员，答案肯定是可以！ 非常开心的发现现在有各行各业的人在使用我的产品，不仅仅是互联网从业者。 最后打个广告，简单简历双十一到双十二特卖就剩不到十天了，终身会员特价 99 元，如果有需要的朋友可以考虑一下。
独立开发者 自由职业 作品 - 简单简历 https://t.co/xMu5JFIGnr 五分钟打造程序员的金牌简历 课程 - 慕课网精英讲师 https://t.co/NTyFFrvHwL 经历 - 不上班的1000天 https://t.co/bonuLQCCsY 视频 - https://t.co/aQYLgujIyC
