{"slug": "playing-to-par-reinforcement-learning-for-provably-optimal-quadrilateral-block", "title": "Playing to Par: Reinforcement Learning for Provably Optimal Quadrilateral Block Decompositions", "summary": "A quadrilateral block decomposition of a planar domain is judged by whether it is complete, whether its elements are well shaped, and how many of its vertices are irregular, with the discrete Gauss-Bonnet identity enforcing a provable lower bound on total vertex irregularity. The work applies reinforcement learning to reach provably optimal quadrilateral block decompositions.", "body_md": "A quadrilateral block decomposition of a planar domain is judged by whether it is complete, whether its elements are well shaped, and how many of its vertices are irregular. The last has a provable floor: the discrete Gauss-Bonnet identity enforces a lower bound on the total vertex irregularity of a", "url": "https://wpnews.pro/news/playing-to-par-reinforcement-learning-for-provably-optimal-quadrilateral-block", "canonical_source": "https://aiflash.com/news/128473/", "published_at": "2026-09-29 11:30:00+00:00", "updated_at": "2026-09-29 11:48:40.152573+00:00", "lang": "en", "topics": ["machine-learning", "ai-research"], "entities": [], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/playing-to-par-reinforcement-learning-for-provably-optimal-quadrilateral-block", "markdown": "https://wpnews.pro/news/playing-to-par-reinforcement-learning-for-provably-optimal-quadrilateral-block.md", "text": "https://wpnews.pro/news/playing-to-par-reinforcement-learning-for-provably-optimal-quadrilateral-block.txt", "jsonld": "https://wpnews.pro/news/playing-to-par-reinforcement-learning-for-provably-optimal-quadrilateral-block.jsonld"}}