Nan Jiang
Nan Jiang
Tianjin University
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Zitiert von
Zitiert von
Doubly robust off-policy value evaluation for reinforcement learning
N Jiang, L Li
International Conference on Machine Learning, 652-661, 2016
The global survival rate among adult out-of-hospital cardiac arrest patients who received cardiopulmonary resuscitation: a systematic review and meta-analysis
S Yan, Y Gan, N Jiang, R Wang, Y Chen, Z Luo, Q Zong, S Chen, C Lv
Critical care 24, 1-13, 2020
Micro-or small-gas turbines
TW Simon, N Jiang
Proc. Int. Gas Turbine Congress, 2-7, 2003
Contextual decision processes with low bellman rank are pac-learnable
N Jiang, A Krishnamurthy, A Agarwal, J Langford, RE Schapire
International Conference on Machine Learning, 1704-1713, 2017
High-silica zeolites for adsorption of organic micro-pollutants in water treatment: A review
N Jiang, R Shang, SGJ Heijman, LC Rietveld
Water research 144, 145-161, 2018
Information-theoretic considerations in batch reinforcement learning
J Chen, N Jiang
International Conference on Machine Learning, 1042-1051, 2019
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
S Qiu, H Zhao, N Jiang, Z Wang, L Liu, Y An, H Zhao, X Miao, R Liu, ...
Information Fusion 80, 241-265, 2022
Provably efficient rl with rich observations via latent state decoding
S Du, A Krishnamurthy, N Jiang, A Agarwal, M Dudik, J Langford
International Conference on Machine Learning, 1665-1674, 2019
Electrodeposited nickel-sulfide films as competent hydrogen evolution catalysts in neutral water
N Jiang, L Bogoev, M Popova, S Gul, J Yano, Y Sun
Journal of Materials Chemistry A 2 (45), 19407-19414, 2014
Synergetic degradation of Acid Orange 7 (AO7) dye by DBD plasma and persulfate
K Shang, X Wang, J Li, H Wang, N Lu, N Jiang, Y Wu
Chemical Engineering Journal 311, 378-384, 2017
Model-based rl in contextual decision processes: Pac bounds and exponential improvements over model-free approaches
W Sun, N Jiang, A Krishnamurthy, A Agarwal, J Langford
Conference on learning theory, 2898-2933, 2019
Enhanced catalytic performance of graphene-TiO2 nanocomposites for synergetic degradation of fluoroquinolone antibiotic in pulsed discharge plasma system
H Guo, N Jiang, H Wang, K Shang, N Lu, J Li, Y Wu
Applied Catalysis B: Environmental 248, 552-566, 2019
Reinforcement learning: Theory and algorithms
A Agarwal, N Jiang, SM Kakade, W Sun
CS Dept., UW Seattle, Seattle, WA, USA, Tech. Rep 32, 2019
Atmospheric pressure plasma jet: Effect of electrode configuration, discharge behavior, and its formation mechanism
N Jiang, A Ji, Z Cao
Journal of Applied Physics 106 (1), 2009
Hierarchical imitation and reinforcement learning
H Le, N Jiang, A Agarwal, M Dudík, Y Yue, H Daumé III
International conference on machine learning, 2917-2926, 2018
Bellman-consistent pessimism for offline reinforcement learning
T Xie, CA Cheng, N Jiang, P Mineiro, A Agarwal
Advances in neural information processing systems 34, 6683-6694, 2021
Particle image velocimetry measurement of indoor airflow field: A review of the technologies and applications
X Cao, J Liu, N Jiang, Q Chen
Energy and Buildings 69, 367-380, 2014
Minimax weight and q-function learning for off-policy evaluation
M Uehara, J Huang, N Jiang
International Conference on Machine Learning, 9659-9668, 2020
The dependence of effective planning horizon on model accuracy
N Jiang, A Kulesza, S Singh, R Lewis
Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015
Plasma-catalytic degradation of benzene over Ag–Ce bimetallic oxide catalysts using hybrid surface/packed-bed discharge plasmas
N Jiang, J Hu, J Li, K Shang, N Lu, Y Wu
Applied Catalysis B: Environmental 184, 355-363, 2016
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