Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning

no code implementations • 21 Feb 2023 • Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham

Safety in goal directed Reinforcement Learning (RL) settings has typically been handled through constraints over trajectories and have demonstrated good performance in primarily short horizon tasks.

Decision Making Hierarchical Reinforcement Learning +2

FFConv: Fast Factorized Convolutional Neural Network Inference on Encrypted Data

no code implementations • 6 Feb 2021 • Yuxiao Lu, Jie Lin, Chao Jin, Zhe Wang, Min Wu, Khin Mi Mi Aung, XiaoLi Li

Despite the faster HECNN inference, the mainstream packing schemes Dense Packing (DensePack) and Convolution Packing (ConvPack) introduce expensive rotation overhead, which prolongs the inference latency of HECNN for deeper and wider CNN architectures.

Privacy Preserving