Yanqiu Wu

Yanqiu Wu

New York University

H-index: 4

North America-United States

About Yanqiu Wu

Yanqiu Wu, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at New York University, specializes in the field of Deep Reinforcement Learning, Quantum Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Radio Signal Classification by Adversarially Robust Quantum Machine Learning

Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning

Aggressive q-learning with ensembles: Achieving both high sample efficiency and high asymptotic performance

Bail: Best-action imitation learning for batch deep reinforcement learning

Striving for simplicity and performance in off-policy DRL: Output normalization and non-uniform sampling

Yanqiu Wu Information

University

Position

PhD student

Citations(all)

161

Citations(since 2020)

148

Cited By

21

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Yanqiu Wu Skills & Research Interests

Deep Reinforcement Learning

Quantum Machine Learning

Top articles of Yanqiu Wu

Radio Signal Classification by Adversarially Robust Quantum Machine Learning

arXiv preprint arXiv:2312.07821

2023/12/13

Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning

arXiv preprint arXiv:2211.03240

2022/11/6

Yanqiu Wu
Yanqiu Wu

H-Index: 2

Aggressive q-learning with ensembles: Achieving both high sample efficiency and high asymptotic performance

arXiv preprint arXiv:2111.09159

2021/11/17

Bail: Best-action imitation learning for batch deep reinforcement learning

Advances in Neural Information Processing Systems

2020

Striving for simplicity and performance in off-policy DRL: Output normalization and non-uniform sampling

2020/11/21

See List of Professors in Yanqiu Wu University(New York University)