2 papers
eess.SY2022
Safe Reinforcement Learning for a Robot Being Pursued but with Objectives Covering More Than Capture-avoidance
Huanhui Cao, Zhiyuan Cai, Hairuo Wei +3
Reinforcement Learning (RL) algorithms show amazing performance in recent years, but placing RL in real-world applications such as self-driven vehicles may suffer safety problems.…
cs.LG2022
Scalable K-FAC Training for Deep Neural Networks with Distributed Preconditioning
Lin Zhang, Shaohuai Shi, Wei Wang +1
The second-order optimization methods, notably the D-KFAC (Distributed Kronecker Factored Approximate Curvature) algorithms, have gained traction on accelerating deep neural networ…