[G1-Sync] Manual knowledge update
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id: P-REINFORCE-AUTO-RWPE-001
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id: [[P-Reinforce]]-AUTO-RWPE-001
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category: "10_Wiki/💡 Topics/AI"
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confidence_score: 0.99
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tags: [auto-reinforced, neuroscience, machine-learning, dopamine, reinforcement-learning]
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tags: [auto-reinforced, neuroscience, machine-learning, [[Dopamine]], [[Reinforcement-Learning]]]
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last_reinforced: 2026-04-20
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- **정책 변화(RL Update)**: 중독(Addiction)이나 도박 정책 수립 시, 단순히 행위를 막는 것이 아니라 뇌의 RPE 시스템을 가짜 데이터로 교란하는 '변동 보상(Slot Machine 메커니즘)' 디자인을 규제하는 방향으로 기술 정책이 강화됨.
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## 🔗 지식 연결 (Graph)
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- [[Reinforcement Learning (RL)]], [[Neurobiology-of-Reward]], [[Probability Theory]], [[Performance Management Systems]], [[Ps-Reinforce]]
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- **Modern Tech/Tools**: Deep Q-Networks (DQN), Dopamine level monitoring, Behavioral RL models.
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- [[Reinforcement Learning (RL)]], [[Neurobiology-of-Reward]], [[Probability Theory]], [[Performance [[Management]][[ system]]s]], [[Ps-Reinforce]]
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- **Modern Tech/Tools**: [[Deep Q-Networks (DQN)]], Dopamine level monitoring, [[Behavior]]al RL models.
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