most citedDeep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SY2020

Optimal Power Control for DoS Attack over Fading Channel: A Game-Theoretic Approach

Jie Wang, Jiahu Qin, Menglin Li +1

In this paper, we investigate remote state estimation against an intelligent denial-of-service (DoS) attack over a vulnerable wireless network whose channel undergoes attenuation a…

cs.LG2019★ 2 cited

Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization

Qi Zhou, Houqiang Li, Jie Wang

Model-based reinforcement learning algorithms tend to achieve higher sample efficiency than model-free methods. However, due to the inevitable errors of learned models, model-based…