Coverage 1 publisher
Articles stay on their publishers’ sites; each link opens the original.
RLTL;DR: Self-Improvement by Internalizing Self-Generated Feedback
RLTL;DR examines self-improvement in reinforcement learning with verifiable rewards, where agents may have little or no chance of solving difficult tasks and no teacher models or example solutions to learn from. The work explores internalizing feedback generated by the model itself as an alternative.