CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing

no code implementations • 16 Nov 2021 • Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu

Network slicing is proposed as a promising solution for resource utilization in 5G and future networks to address this dire need.

Management reinforcement-learning +1

IPO: Interior-point Policy Optimization under Constraints

no code implementations • 21 Oct 2019 • Yongshuai Liu, Jiaxin Ding, Xin Liu

In this paper, we study reinforcement learning (RL) algorithms to solve real-world decision problems with the objective of maximizing the long-term reward as well as satisfying cumulative constraints.

reinforcement-learning Reinforcement Learning (RL)

Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks

no code implementations • 9 Jan 2018 • Yongshuai Liu, Jiyu Chen, Hao Chen

Motivated by recent research that shows outliers in the training set have a high negative influence on the trained model, we studied the relationship between model robustness and the quality of the training set.