21 citations · 39 across the 3 of their papers we have counts for
3 papers
cs.AI2023★ 21 cited
Safe RLHF: Safe Reinforcement Learning from Human Feedback
Josef Dai, Xuehai Pan, Ruiyang Sun +5
With the development of large language models (LLMs), striking a balance between the performance and safety of AI systems has never been more critical. However, the inherent tensio…
cs.LG2023★ 12 cited
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research
Jiaming Ji, Jiayi Zhou, Borong Zhang +7
AI systems empowered by reinforcement learning (RL) algorithms harbor the immense potential to catalyze societal advancement, yet their deployment is often impeded by significant s…
cs.CV2023★ 6 cited
Proactive Multi-Camera Collaboration For 3D Human Pose Estimation
Hai Ci, Mickel Liu, Xuehai Pan +2
This paper presents a multi-agent reinforcement learning (MARL) scheme for proactive Multi-Camera Collaboration in 3D Human Pose Estimation in dynamic human crowds. Traditional fix…