Multi Turn Reinforcement Learning

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Alberti: Multi-Turn RL Enables Aggressive Code Optimization Over Single-Turn Models
“Basically the single-turn model that was just trained on, like, getting the best result after one turn. It would basically be a little bit, like, too careful, because it couldn't risk writing, like, non-compiling code, whereas, like, the multi-turn model would…”
Silas Alberti May 21, 2025 ▶ 30:19 DeepWiki: The GitHub Encyclopedia

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