Adam Wei @adamwei_
Robotics PhD student @MIT_CSAIL Joined April 2025-
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Adam Wei retweeted
For agents to improve over time, they can’t afford to forget what they’ve already mastered. We found that supervised fine-tuning forgets more than RL when training on a new task! Want to find out why? 👇
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Adam Wei retweeted
Happy to announce that we’ll be presenting our work on sim-and-real cotraining at IROS 2025! Check out our latest arXiv version - we’ve added new experiments for 2 alternative co-training formulations and addressed some FAQs 📄 arxiv.org/abs/2503.22634 🌐 sim-and-real-cotraining.github.io
Adam Wei retweeted
TRI's latest Large Behavior Model (LBM) paper landed on arxiv last night! Check out our project website: toyotaresearchinstitute.github.io/lbm1/ One of our main goals for this paper was to put out a very careful and thorough study on the topic to help people understand the state of the…
Adam Wei retweeted
Announcing Ambient Diffusion Omni — a framework that uses synthetic, low-quality, and out-of-distribution data to improve diffusion models. State-of-the-art ImageNet performance. A strong text-to-image results in just 2 days on 8 GPUs. Filtering ❌ Clever data use ✅
Adam Wei retweeted
What if an LLM could update its own weights? Meet SEAL🦭: a framework where LLMs generate their own training data (self-edits) to update their weights in response to new inputs. Self-editing is learned via RL, using the updated model’s downstream performance as reward.
Really cool work on environment generation + inference time search with diffusion!
Really cool work on environment generation + inference time search with diffusion!
Adam Wei retweeted
We're really honored to be named alongside Ajay and Justin for this award, from the hands-down best technical committee in robotics! Here's the paper arxiv.org/abs/2304.11259 and accompanying video youtube.com/watch?v=L57Jz3…
We're really honored to be named alongside Ajay and Justin for this award, from the hands-down best technical committee in robotics! Here's the paper arxiv.org/abs/2304.11259 and accompanying video youtube.com/watch?v=L57Jz3…
Amazing concurrent work showing the effectiveness of sim+real cotraining on a wide range of tasks! The similarity of our findings suggests that sim data could unlock massive improvements in robotics... I'm excited to see what comes next in this space
Amazing concurrent work showing the effectiveness of sim+real cotraining on a wide range of tasks! The similarity of our findings suggests that sim data could unlock massive improvements in robotics... I'm excited to see what comes next in this space
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Conference on Robot L... @corl_conf
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