Zihan Ding
Cited by
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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
Understanding the relationships between ecosystem services and associated social-ecological drivers in a karst region: A case study of Guizhou Province, China
S Qiu, J Peng, J Dong, X Wang, Z Ding, H Zhang, Q Mao, H Liu, TA Quine, ...
Progress in Physical Geography: Earth and Environment 45 (1), 98-114, 2021
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
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
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
Imitation Learning
Z Ding
Deep Reinforcement Learning, 273-306, 2020
Reinforced Workload Distribution Fairness
Z Yao, Z Ding, TH Clausen
arXiv preprint arXiv:2111.00008, 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
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
Policy gradient
R Huang, T Yu, Z Ding, S Zhang
Deep reinforcement learning, 161-212, 2020
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