Zihan Ding
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Introduction to reinforcement learning
Z Ding, Y Huang, H Yuan, H Dong
Deep reinforcement learning, 47-123, 2020
Deep Reinforcement Learning
H Dong, H Dong, Z Ding, S Zhang, Chang
Springer Singapore, 2020
Arena: A general evaluation platform and building toolkit for multi-agent intelligence
Y Song, A Wojcicki, T Lukasiewicz, J Wang, A Aryan, Z Xu, M Xu, Z Ding, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7253-7260, 2020
Deep reinforcement learning for intelligent transportation systems
XY Liu, Z Ding, S Borst, A Walid
NIPS Workshop on Machine Learning for Intelligent Transportation Systems 2018, 2018
Sim-to-Real Transfer for Optical Tactile Sensing
Z Ding, NF Lepora, E Johns
International Conference on Robotics and Automation (ICRA 2020), 2020
Crossing the gap: A deep dive into zero-shot sim-to-real transfer for dynamics
E Valassakis, Z Ding, E Johns
International Conference on Intelligent Robots and Systems (IROS 2020), 2020
Fast high-fidelity readout of a single trapped-ion qubit via machine-learning methods
ZH Ding, JM Cui, YF Huang, CF Li, T Tu, GC Guo
Physical Review Applied 12 (1), 014038, 2019
Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach
Z Ding, XY Liu, M Yin, L Kong
IJCAI 2019 International Workshop on Human Brain and Artificial Intelligence …, 2019
Challenges of reinforcement learning
Z Ding, H Dong
Deep Reinforcement Learning, 249-272, 2020
Accelerated exhaustive eye glints localization method for infrared video oculography
Z Ding, J Luo, H Deng
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 620-627, 2018
DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration
YY Tsai, H Xu, Z Ding, C Zhang, E Johns, B Huang
IEEE Robotics and Automation Letters 6 (2), 3168-3175, 2021
RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library
Z Ding, T Yu, Y Huang, H Zhang, L Mai, H Dong
arXiv preprint arXiv:2009.08644, 2020
Policy gradient
R Huang, T Yu, Z Ding, S Zhang
Deep reinforcement learning, 161-212, 2020
Imitation Learning
Z Ding
Deep Reinforcement Learning, 273-306, 2020
Bayesian Optimization for Wavefront Sensing and Error Correction
Q Zhong-Hua, D Zi-Han, A Ming-Zhong, Z Yong-Xiang, C Jin-Ming, ...
Chinese Physics Letters 38 (6), 64202, 2021
Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning
J Ren, Y Li, Z Ding, W Pan, H Dong
arXiv preprint arXiv:2104.09122, 2021
Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos
H Yuan, R Wu, A Zhao, H Zhang, Z Ding, H Dong
arXiv preprint arXiv:2103.04301, 2021
Sim-to-Real Transfer for Robotic Manipulation with Tactile Sensory
Z Ding, YY Tsai, WW Lee, B Huang
arXiv preprint arXiv:2103.00410, 2021
Efficient Reinforcement Learning Development with RLzoo
Z Ding, T Yu, Y Huang, H Zhang, G Li, Q Guo, L Mai, H Dong
CDT: Cascading Decision Trees for Explainable Reinforcement Learning
Z Ding, P Hernandez-Leal, GW Ding, C Li, R Huang
arXiv preprint arXiv:2011.07553, 2020
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