Zihan Ding

Zihan Ding

Imperial College London

H-index: 12

Europe-United Kingdom

About Zihan Ding

Zihan Ding, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Reinforcement Learning, Robotics, Machine Learning.

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

Efficient and Guaranteed-Safe Non-Convex Trajectory Optimization with Constrained Diffusion Model

Diffusion World Model

Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Survey of Consciousness Theory from Computational Perspective

Learning a universal human prior for dexterous manipulation from human preference

Multi-agent reinforcement learning for network load balancing in data center

Representation learning for low-rank general-sum markov games

A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games

Zihan Ding Information

University

Position

___

Citations(all)

644

Citations(since 2020)

625

Cited By

93

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Zihan Ding Skills & Research Interests

Reinforcement Learning

Robotics

Machine Learning

Top articles of Zihan Ding

Efficient and Guaranteed-Safe Non-Convex Trajectory Optimization with Constrained Diffusion Model

arXiv preprint arXiv:2403.05571

2024/2/22

Diffusion World Model

arXiv preprint arXiv:2402.03570

2024/2/5

Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

2023/9/29

Zihan Ding
Zihan Ding

H-Index: 6

Chi Jin
Chi Jin

H-Index: 24

Survey of Consciousness Theory from Computational Perspective

2023/9/18

Zihan Ding
Zihan Ding

H-Index: 6

Learning a universal human prior for dexterous manipulation from human preference

arXiv preprint arXiv:2304.04602

2023/4/10

Multi-agent reinforcement learning for network load balancing in data center

2022/10/17

Representation learning for low-rank general-sum markov games

2022/9/29

A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games

arXiv preprint arXiv:2207.08894

2022/7/18

Reverse differentiation via predictive coding

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game

Advances in Neural Information Processing Systems, 2022

2022/6/3

Zhiyuan Yao
Zhiyuan Yao

H-Index: 5

Zihan Ding
Zihan Ding

H-Index: 6

Reinforced workload distribution fairness

2021/10/29

Not Only Domain Randomization: Universal Policy with Embedding System Identification

2021/9/28

Zihan Ding
Zihan Ding

H-Index: 6

DMotion: Robotic visuomotor control with unsupervised forward model learned from videos

2021/9/27

Sim-to-real transfer for robotic manipulation with tactile sensory

2021/9/27

Zihan Ding
Zihan Ding

H-Index: 6

Bidan Huang
Bidan Huang

H-Index: 6

Bayesian Optimization for wavefront sensing and error correction

Chinese Physics Letters

2021/6/1

Probabilistic mixture-of-experts for efficient deep reinforcement learning

arXiv preprint arXiv:2104.09122

2021/4/19

Droid: Minimizing the reality gap using single-shot human demonstration

IEEE Robotics and Automation Letters

2021/2/25

Tricks of Implementation

Deep Reinforcement Learning: Fundamentals, Research and Applications

2020

Zihan Ding
Zihan Ding

H-Index: 6

Hao Dong
Hao Dong

H-Index: 2

Deep Reinforcement Learning

2018/4/18

Introduction to reinforcement learning

Machine Learning in Finance: From Theory to Practice

2024/2/6

See List of Professors in Zihan Ding University(Imperial College London)

Co-Authors

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