6 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning
Shenao Zhang
Provably efficient Model-Based Reinforcement Learning (MBRL) based on optimism or posterior sampling (PSRL) is ensured to attain the global optimality asymptotically by introducing…
cs.RO2021★ 6 cited
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
Fei Ye, Shen Zhang, Pin Wang +1
In this survey, we systematically summarize the current literature on studies that apply reinforcement learning (RL) to the motion planning and control of autonomous vehicles. Many…
cs.LG2019★ 2 cited
Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE
Shen Zhang, Shibo Zhang, Sufei Li +2
The optimization of electric machines at multiple operating points is crucial for applications that require frequent changes on speeds and loads, such as the electric vehicles, to…