This post discusses the implementation of the GRPO (Generalized Reinforcement Policy Optimization) framework in achieving success against various models (o1, o3-mini, and R1) in a competition titled 'Temporal Clue.' The authors provide insights into their methodology and the results obtained. They express openness to engage with the audience on technical questions, reflecting an innovative approach and advanced problem-solving in AI and gaming context.