VAM! AI Reading Group -- ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

​📄 Paper: ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

​Presenter: Egina Malaj

​To maximize engagement, please try to read the paper in advance.

​Paper 3-line Summary: The paper introduces ReasoningBank, a memory system that helps AI Agents learn from past successes and failures, and MaTTS (memory-aware test-time scaling), a method that uses that memory to improve reasoning at test time. Together they make agents learn faster and reason better.

​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

​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!