Author

Alexander Toshev

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#artificial intelligence Preprint Sep 2026

RLTL;DR: Self-improvement by Internalizing Self-generated Feedback

The common paradigm of reinforcement learning with verifiable rewards (RLVR) is to let agents make multiple attempts at a task, and optimize towards the successful ones. This becomes problematic in the realms of self-improvement, where tasks are so difficult that the agent has a low or even no chance of success, and wh...

Michael Kirchhof, Eleonora Gualdoni, Andrew Szot et al. · 0 citations

Jul 2026

Environment-free Synthetic Data Generation for API-Calling Agents

Training API-calling large language model (LLM) agents demands massive amounts of high-quality trajectories. However, collecting such data at scale typically requires fully implemented environments with executable APIs and realistic, pre-populated backend databases, creating a major bottleneck for scalability. To overc...

Seanie Lee, Sanjoy Chowdhury, Chao Jiang et al. · arXiv.org · 2 citations