# reinforcement-learning
標記為「reinforcement-learning」的 3 篇文章
RL-Based Attack Optimization
Using reinforcement learning to train adversarial attack policies against AI systems: reward design, policy architectures, curriculum learning, and transferability of learned attacks.
reinforcement-learningoptimization
AI 驅動紅隊演練
使用 AI 自動化與擴展 AI 安全測試——涵蓋 PAIR、TAP、LLM 攻擊者框架與強化學習攻擊最佳化。
ai-redteamingpairtapautomationreinforcement-learning
RL-Based 攻擊 Optimization
Using reinforcement learning to train adversarial attack policies against AI systems: reward design, policy architectures, curriculum learning, and transferability of learned attacks.
reinforcement-learningoptimization