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

2026-04-27 18:58:22 +09:00
parent 3424166ea2
commit 6b86b0da4c
2706 changed files with 9074 additions and 7273 deletions
@@ -1,6 +1,6 @@
 ---
 id: P-REINFORCE-AUTO-REWARD-001
-category: "[[10_Wiki/💡 Topics/AI]]"
+category: "10_Wiki/💡 Topics/AI"
 confidence_score: 0.98
 tags: [auto-reinforced, neuroscience, dopamine]
 last_reinforced: 2026-04-20
@@ -28,6 +28,6 @@ last_reinforced: 2026-04-20
 - **정책 변화(RL Update)**: 현대의 중독 치료 RL 모델에서는 도파민 수용체의 민감도 저하(Tolerance)를 AI 에이전트의 'Learning Rate Decay' 혹은 'Reward Clipping' 오류에 비유하여 분석하며, 이를 예방하기 위한 알고리즘적 설계를 연구 중임.

 ## 🔗 지식 연결 (Graph)
- **Related**: [[Reinforcement Learning]], [[Dopamine]], [[Executive Function]], [[Addiction Neurobiology]], [[Temporal Difference Learning]]
+- **Related**: Reinforcement Learning, [[Dopamine]], Executive Function, Addiction Neurobiology, Temporal Difference Learning
 - **Modern Tech/Tools**: Optogenetics, In-vivo Microdialysis, fMRI.
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