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Deli AutoResearch SKILL was open-sourced on 2026-06-17 alongside a fourth survey…

Brief

Deli AutoResearch SKILL was open-sourced on 2026-06-17 alongside a fourth survey paper on Self-play. Inspired by AlphaZero, Chen reports the AutoResearch Agent autonomously designed and executed GPU RL experiments—submitting runs on DeepSeek 285B and using GRPO—claiming a fully automated pipeline and positioning this as the beginning of Continual Learning work.

Source evidence

🧵 Deli AutoResearch SKILL is now officially open source! 🎉
victorchen96.github.io/auto_…

Alongside it, we’re dropping our 4th survey paper — this time on Self-play.
victorchen96.github.io/auto_…

Inspired by AlphaZero, we got a powerful insight: prior knowledge doesn’t always lift the ceiling.
Models can discover more globally optimal solutions just by playing against themselves.

The biggest change in this paper?
For the first time, the AutoResearch Agent autonomously planned GPU experiments — and submitted actual RL runs on the DeepSeek 285B model.

The entire RL pipeline — experiment design, code writing, running, debugging, and conclusion summarization — was 100% automated, with zero human intervention from me.
This was incredibly difficult, but an incredibly important step.
victorchen96.github.io/blog_…

GRPO is the tool being called by the AutoResearch Agent here.
We see this as the beginning of our Continual Learning research journey. 🚀

As always, this is my personal research project, unaffiliated with any organization. All views are my own.

AI #ReinforcementLearning #SelfPlay #OpenSource #AutoML #ContinualLearning #DeepSeek