arXiv cs.CL· Valentin Li\'evin, Samuel Schmidgall, Tim Strother, Alex Bijamov, Akshay Goel, Anil Palepu, Chunjong Park, Vahid Balazadeh, Min Woo Sun, Marius Guerard, Justin Chen, Dave Steiner, Vikram Dhillon, Ibrahim Azar, Akhil Mehta, Nicholas Spetsieris, Shilpan Shah, Maen Abdelrahim, Amit Dahiya, Yun Liu, Katherine Chou, Yossi Matias, Avinatan Hassidim, Dale R. Webster, Quoc V. Le, Raia Hadsell, Joelle Barral, Carey Radebaugh, Aleksandra Faust, Shekoofeh Azizi, Mike Schaekermann, Po-Hsuan Cameron Chen, Tao Tu, David Racz, Lin Yang·· 2 小时前AI 评分47
ResidencyRL：在模拟临床环境中用强化学习训练临床 AI 智能体
ResidencyRL: Reinforcement Learning in Simulated Clinical Environments
AI 导读
ResidencyRL 是一种通过模拟多轮临床问诊（单条轨迹最多 60 轮对话、8 次工具调用）训练临床 AI 智能体的强化学习方法，奖励对齐诊断准确性、管理质量、沟通、文书与安全。
来源：arXiv cs.CL · arxiv.org