Zihan Ding
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Deep Reinforcement Learning
H Dong, H Dong, Z Ding, S Zhang, Chang
Springer Singapore, 2020
Introduction to reinforcement learning
Z Ding, Y Huang, H Yuan, H Dong
Deep reinforcement learning, 47-123, 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
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
Challenges of reinforcement learning
Z Ding, H Dong
Deep Reinforcement Learning, 249-272, 2020
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
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
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
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
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
Imitation Learning
Z Ding
Deep Reinforcement Learning, 273-306, 2020
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
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
Reinforced Cooperative Load Balancing in Data Center
Z Yao, Z Ding, T Clausen
arXiv preprint arXiv:2201.11727, 2022
Reverse Differentiation via Predictive Coding
T Salvatori, Y Song, Z Xu, T Lukasiewicz, R Bogacz, H Lin, Y Fan, J Zhang, ...
Proceedings of the 36th AAAI Conference on Artificial Intelligence ‚AAAI …, 2022
Not Only Domain Randomization: Universal Policy with Embedding System Identification
Z Ding
arXiv preprint arXiv:2109.13438, 2021
Bayesian Optimization for wavefront sensing and error correction
ZH Qian, ZH Ding, MZ Ai, YX Zheng, JM Cui, YF Huang, CF Li, GC Guo
Chinese Physics Letters 38 (6), 064202, 2021
Sim-to-Real Transfer for Robotic Manipulation with Tactile Sensory
Z Ding, YY Tsai, WW Lee, B Huang
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
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