Pieter Abbeel
Berkeley professor whose group produced the denoising diffusion paper
A professor at UC Berkeley working on robot learning, and head of the group where the 2020 denoising diffusion paper was written.
In the library
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Recommended next
Hand-picked from the hub based on what Pieter Abbeel covers.
Training Small Language Models for Transferable Tool Selection
Preprint, not yet peer-reviewed. Researchers at Meta and Carnegie Mellon University study reinforcement learning for tool selection by a small language model and transfer to different retrievers and tool collections. The authors report that their post-trained Qwen3-8B outperforms Llama 4 Maverick on ToolBench; this is the paper’s reported result, not an independent benchmark verification.
Why this: Also about reinforcement learning
ComfyUI
Open-source, node-based interface for building and running image, video and audio generation workflows with diffusion models, designed to run locally.
Why this: Also about diffusion models
Investing in Preference Model
a16z post from October 7, 2026 announcing an investment, amount not disclosed, in Preference Model, a company that builds reinforcement-learning environments for AI labs. The post says the company is open-sourcing a framework called Karotte.
Why this: Also about reinforcement learning
OpenMind Research Institute
A nonprofit research institute focused on basic AI research into how minds arise from computation. Its site frames minds as computational entities capable of goal-directed adaptive behavior in open, uncertain worlds, and lists open questions such as how minds learn in real time from sensorimotor experience and how synthetic and human minds can cooperate. The institute builds on The Alberta Plan for AI Research, says all results will be shared publicly with no intellectual property restrictions, and is recruiting research fellows.
Why this: Also about reinforcement learning