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.
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