| Doubly robust off-policy value evaluation for reinforcement learning N Jiang, L Li International Conference on Machine Learning, 652-661, 2016 | 603 | 2016 |
| Micro-or small-gas turbines TW Simon, N Jiang Proc. Int. Gas Turbine Congress, 2-7, 2003 | 402 | 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 | 339 | 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 | 335 | 2018 |
| Information-theoretic considerations in batch reinforcement learning J Chen, N Jiang International Conference on Machine Learning, 1042-1051, 2019 | 245 | 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 | 198 | 2014 |
| 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), 013308, 2009 | 183 | 2009 |
| 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 | 177 | 2017 |
| 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 | 175 | 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 | 168 | 2019 |
| 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 | 162 | 2018 |
| 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 | 158 | 2019 |
| 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 | 156 | 2014 |
| 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 | 147 | 2022 |
| Minimax weight and q-function learning for off-policy evaluation M Uehara, J Huang, N Jiang International Conference on Machine Learning, 9659-9668, 2020 | 136 | 2020 |
| 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 | 133 | 2016 |
| 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 | 131 | 2015 |
| Blasting vibration safety criterion for a tunnel liner structure N Jiang, C Zhou Tunnelling and Underground Space Technology 32, 52-57, 2012 | 129 | 2012 |
| Reinforcement learning: Theory and algorithms A Agarwal, N Jiang, SM Kakade, W Sun CS Dept., UW Seattle, Seattle, WA, USA, Tech. Rep, 10-4, 2019 | 127 | 2019 |
| Degradation of p-nitrophenol by DBD plasma/Fe2+/persulfate oxidation process K Shang, W Li, X Wang, N Lu, N Jiang, J Li, Y Wu Separation and Purification Technology 218, 106-112, 2019 | 116 | 2019 |
Yongxiang Huang (黄永祥)State Key Lab of Marine Environmental Science, College of Ocean and Earth Sciences在 xmu.edu.cn 的电子邮件经过验证
