Developer Shares RL Practice: Training Small Models with GRPO to Solve Puzzles
tokenbender · x · 2026-08-06
An independent developer shared his practical experience and philosophy from a reinforcement learning (RL) project. He reflected on valuable advice he received: continuously asking questions and designing toy experiments to test them until you find and answer questions nobody else is asking.
Currently, he is working on training a small Qwen3-1.7B model using the GRPO algorithm to solve the 15 Puzzle. This involves a multi-turn environment where the model must make one move per step, with the ultimate goal of reaching the fully solved state.
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