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[G1-Sync] Manual knowledge update

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Antigravity Agent
2026-04-30 22:42:02 +09:00
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10_Wiki/Topics/Multi-armed-Bandit-Problem.md
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id: RL-MAB-001
category: "10_Wiki/💡 Topics/AI"
confidence_score: 1.0
tags: [ai, reinforcement-learning, multi-armed-bandit, exploration-exploitation, optimization]
tags: [ai, [[Reinforcement-Learning]], multi-armed-bandit, exploration-exploitation, [[Optimization]]]
last_reinforced: 2026-04-26
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@@ -24,5 +24,5 @@ last_reinforced: 2026-04-26
- **정책 변화:** Antigravity 프로젝트는 에이전트가 여러 도구(Tool) 중 현재 문제 해결에 가장 적합한 도구를 선택할 때, 과거 성공률을 기반으로 한 톰슨 샘플링 기법을 적용하여 최적의 도구 활용 전략을 수립함.
## 🔗 지식 연결 (Graph)
- [[Reinforcement-Learning]], [[Monte-Carlo-Tree-Search-MCTS]], Expected-Utility-Theory, A-B-Testing-Optimization
- [[Reinforcement-Learning]], [[Monte-Carlo-Tree-[[Search]]-MCTS]], Expected-Utility-Theory, A-B-[[Testing]]-Optimization
- **Raw Source:** 10_Wiki/Topics/AI/Multi-armed-Bandit-Problem.md