feat: complete wikification of War Commander batch 1&2 and final grey dot cleanup

10_Wiki/Topics/AI/Monte-Carlo-Methods.md

@@ -1,6 +1,6 @@
 ---
 id: P-REINFORCE-AUTO-MCMT-001
-category: "[[10_Wiki/💡 Topics/AI]]"
+category: "10_Wiki/💡 Topics/AI"
 confidence_score: 0.96
 tags: [auto-reinforced, monte-carlo, simulation, probability, statistics, sampling]
 last_reinforced: 2026-04-20
@@ -26,6 +26,6 @@ last_reinforced: 2026-04-20
 - **정책 변화(RL Update)**: 강화 학습의 핵심인 '몬테카를로 트리 탐색(MCTS)' 정책은 모든 경로를 다 가보는 대신 가망 있는 곳만 무작위로 찔러보며 최적의 수를 찾아냄으로써 알파고 탄생의 결정적 정책 토대가 됨. (Markov-Decision-Processes와 연결)
 
 ## 🔗 지식 연결 (Graph)
-- [[Inferential-Statistics]], [[Markov-Decision-Processes]], [[Deep Learning (DL)]], [[Optimization]], [[Search-Optimization]]
+- [[Inferential-Statistics]], [[Markov-Decision-Processes]], Deep Learning (DL), [[Optimization]], [[Search-Optimization]]
 - **Modern Tech/Tools**: MCTS (Monte Carlo Tree Search), Gibbs sampling, Markov Chain Monte Carlo (MCMC).
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