Reinforcement Learning for Code-Generated Artistic Images

This project explores training an AI to generate artistic images through code using reinforcement learning (RL), addressing challenges in defining effective reward functions for creative tasks. The team improved the system by implementing pairwise judgment and a hand-rated reference pool, leading to more efficient and diverse code outputs.

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