Reinforcement-learning-sudoku Official

Technical articles and research, including studies on Group Relative Policy Optimization (GRPO) for LLMs and deep Q-learning, demonstrate that reinforcement learning can solve Sudoku, though often requiring heuristic assistance to achieve high accuracy. While model-free approaches struggle with logical constraints, hybrid systems can achieve 100% success rates, according to research published on IEEE Xplore . [2307.00653] Neuro-Symbolic Sudoku Solver - arXiv