VAM! AI Reading Group: Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
📄 Paper: Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
https://arxiv.org/pdf/2511.16043
Presented by Tanvi
To maximize engagement, please try to read the paper in advance.
Summary: The paper introduces Agent0, a framework where AI agents evolve entirely from scratch using self-generated tasks and tool-integrated reasoning. A “curriculum” agent creates problems while an “executor” agent attempts to solve them, forming a closed learning loop. The work explores how this co-evolution enables autonomous LLM agent training without human-provided training data.
Want to present?
The list of papers will be available here: https://docs.google.com/spreadsheets/d/1HET5sjnHjwiF3IaCTipR_ZWspfgglqwdBFRWAfKBhp8/edit?usp=sharing
To connect with the group, join the Discord: https://discord.gg/teJvEejs94
Note that doors close at 6:35 sharp and my phone won't be available to let people in after that.
Timeline:
🕠 6:30 PM – Arrival & Networking.
🗣️ 6:45 PM ~ 7:15 – Paper Presentation
🗣️ 7:15 PM - Discussions
About the Facilitator
Issam Laradji is a Research Scientist at ServiceNow and an Adjunct Professor at University of British Columbia. He holds a PhD in Computer Science and a PhD from the University of British Columbia, and his research interests include natural language processing, computer vision, and large-scale optimization.
Looking forward to discussing the latest AI Papers!