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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j59]Jie Tan
, Daniel Feitosa, Paris Avgeriou:
The lifecycle of Technical Debt that manifests in both source code and issue trackers. Inf. Softw. Technol. 159: 107216 (2023)- [c62]Joanne Taery Kim, Wenhao Yu, Jie Tan, Greg Turk, Sehoon Ha:
How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling. HRI (Companion) 2023: 221-225 - [i47]Deepali Jain, Krzysztof Marcin Choromanski, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan, Avinava Dubey:
Mnemosyne: Learning to Train Transformers with Transformers. CoRR abs/2302.01128 (2023) - [i46]Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari:
On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning. CoRR abs/2303.13390 (2023) - [i45]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Continuous Versatile Jumping Using Learned Action Residuals. CoRR abs/2304.08663 (2023) - [i44]Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Learning and Adapting Agile Locomotion Skills by Transferring Experience. CoRR abs/2304.09834 (2023) - [i43]Joanne Truong, April Zitkovich, Sonia Chernova, Dhruv Batra, Tingnan Zhang, Jie Tan, Wenhao Yu:
IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors without any Outdoor Experience. CoRR abs/2305.01098 (2023) - [i42]Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, Jose Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan:
Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR abs/2305.14654 (2023) - 2022
- [j58]Jie Tan, Zhencheng Fang, Shufang Wu, Qian Guo, Xiaoqing Jiang, Huaiqiu Zhu:
HoPhage: an ab initio tool for identifying hosts of phage fragments from metaviromes. Bioinform. 38(2): 543-545 (2022) - [j57]Haowen Dou, Jie Tan, Huiling Wei, Fei Wang, Jinzhu Yang, X.-G. Ma, Jiaqi Wang, Teng Zhou:
Transfer inhibitory potency prediction to binary classification: A model only needs a small training set. Comput. Methods Programs Biomed. 215: 106633 (2022) - [j56]Jie Tan, Qin Zhong:
Electricity Procurement Strategies under Supply Disruption and Price Fluctuation. Complex. 2022: 9303478:1-9303478:13 (2022) - [j55]Jie Tan, Jianmin Pang, Cong Liu:
What Factors Affect the Performance of Software after Migration: A Case Study on Sunway TaihuLight Supercomputer. IEICE Trans. Inf. Syst. 105-D(1): 26-30 (2022) - [j54]Jie Tan, Daniel Feitosa, Paris Avgeriou:
Does it matter who pays back Technical Debt? An empirical study of self-fixed TD. Inf. Softw. Technol. 143: 106738 (2022) - [j53]Huanjie Wang, Xiwei Bai, Jie Tan, Jiechao Yang:
Deep prototypical networks based domain adaptation for fault diagnosis. J. Intell. Manuf. 33(4): 973-983 (2022) - [j52]Teng Zhou, Haowen Dou, Jie Tan, Youyi Song, Fei Wang, Jiaqi Wang:
Small dataset solves big problem: An outlier-insensitive binary classifier for inhibitory potency prediction. Knowl. Based Syst. 251: 109242 (2022) - [j51]Jingwei Li, Huanjie Wang, Ke Wu, Chengbao Liu, Jie Tan:
Cross-attention-map-based regularization for adversarial domain adaptation. Neural Networks 145: 128-138 (2022) - [j50]Maks Sorokin, Jie Tan, C. Karen Liu, Sehoon Ha:
Learning to Navigate Sidewalks in Outdoor Environments. IEEE Robotics Autom. Lett. 7(2): 3906-3913 (2022) - [j49]Ning Xie, Zhuoyuan Li, Jie Tan, Alex X. Liu:
Detection of Information Hiding at Physical Layer in Wireless Communications. IEEE Trans. Dependable Secur. Comput. 19(2): 1104-1117 (2022) - [j48]Chengbao Liu, Jie Tan, Jingwei Li, Yuan Li, Huanjie Wang:
Temporal Hypergraph Attention Network for Silicon Content Prediction in Blast Furnace. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j47]Huanjie Wang, Xiwei Bai, Sihan Wang, Jie Tan, Chengbao Liu:
Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [c61]Xuesu Xiao, Tingnan Zhang, Krzysztof Marcin Choromanski, Tsang-Wei Edward Lee, Anthony G. Francis, Jake Varley, Stephen Tu, Sumeet Singh, Peng Xu, Fei Xia, Sven Mikael Persson, Dmitry Kalashnikov, Leila Takayama, Roy Frostig, Jie Tan, Carolina Parada, Vikas Sindhwani:
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation. CoRL 2022: 1708-1721 - [c60]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Learning Semantics-Aware Locomotion Skills from Human Demonstration. CoRL 2022: 2205-2214 - [c59]Laura M. Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. ICRA 2022: 1593-1599 - [c58]Yuan Li, Huanjie Wang, Jingwei Li, Chengbao Liu, Jie Tan:
ACT: Adversarial Convolutional Transformer for Time Series Forecasting. IJCNN 2022: 1-8 - [c57]Kuang-Huei Lee, Ofir Nachum, Tingnan Zhang, Sergio Guadarrama, Jie Tan, Wenhao Yu:
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations. IROS 2022: 1447-1454 - [c56]Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu:
Safe Reinforcement Learning for Legged Locomotion. IROS 2022: 2454-2461 - [c55]Jie Tan, Xiubin Sha, Ting Lu, Bo Dai:
A Short Survey on Future Research of AI and IoT Technologies. IWCMC 2022: 190-195 - [c54]Zongshen Mu, Yueting Zhuang, Jie Tan, Jun Xiao, Siliang Tang:
Learning Hybrid Behavior Patterns for Multimedia Recommendation. ACM Multimedia 2022: 376-384 - [i41]Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu:
Safe Reinforcement Learning for Legged Locomotion. CoRR abs/2203.02638 (2022) - [i40]Juan Jose Garau Luis, Yingjie Miao, John D. Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust:
Multi-objective evolution for Generalizable Policy Gradient Algorithms. CoRR abs/2204.04292 (2022) - [i39]Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao:
On the Robustness of Safe Reinforcement Learning under Observational Perturbations. CoRR abs/2205.14691 (2022) - [i38]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Learning Semantics-Aware Locomotion Skills from Human Demonstration. CoRR abs/2206.13631 (2022) - [i37]Kuang-Huei Lee, Ofir Nachum, Tingnan Zhang, Sergio Guadarrama, Jie Tan, Wenhao Yu:
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations. CoRR abs/2207.13224 (2022) - [i36]Xuesu Xiao, Tingnan Zhang, Krzysztof Choromanski, Tsang-Wei Edward Lee, Anthony G. Francis, Jake Varley, Stephen Tu, Sumeet Singh, Peng Xu, Fei Xia, Sven Mikael Persson, Dmitry Kalashnikov, Leila Takayama, Roy Frostig, Jie Tan, Carolina Parada, Vikas Sindhwani:
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation. CoRR abs/2209.10780 (2022) - [i35]Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez:
Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization. CoRR abs/2210.10865 (2022) - [i34]Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang:
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning. CoRR abs/2212.02715 (2022) - 2021
- [j46]Cheng Pan, Jie Tan, Dandan Feng:
Prediction intervals estimation of solar generation based on gated recurrent unit and kernel density estimation. Neurocomputing 453: 552-562 (2021) - [j45]Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine:
How to train your robot with deep reinforcement learning: lessons we have learned. Int. J. Robotics Res. 40(4-5) (2021) - [j44]Jie Tan, Daniel Feitosa, Paris Avgeriou, Mircea Lungu:
Evolution of technical debt remediation in Python: A case study on the Apache Software Ecosystem. J. Softw. Evol. Process. 33(4) (2021) - [j43]Yang Yang, Xuefeng Si, Dong Yue, Jie Tan:
Time-Varying Formation Tracking of Uncertain Nonaffine Nonlinear Multiagent Systems With Communication Delays. IEEE Trans. Ind. Electron. 68(3): 2501-2509 (2021) - [j42]Yang Yang, Jie Tan, Dong Yue, Xiangpeng Xie, Wenbin Yue:
Observer-Based Containment Control for a Class of Nonlinear Multiagent Systems With Uncertainties. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 588-600 (2021) - [j41]Yang Yang, Jie Tan, Dong Yue, Yu-Chu Tian, Yusheng Xue:
Output-Based Containment Control for Uncertain Nonaffine Nonlinear Multiagent Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 5992-6002 (2021) - [j40]Mingliang Li, Jianmin Pang, Feng Yue, Fudong Liu, Jun Wang, Jie Tan:
Enhancing Dynamic Binary Translation in Mobile Computing by Leveraging Polyhedral Optimization. Wirel. Commun. Mob. Comput. 2021: 6611867:1-6611867:12 (2021) - [c53]Zongshen Mu, Siliang Tang, Jie Tan, Qiang Yu, Yueting Zhuang:
Disentangled Motif-aware Graph Learning for Phrase Grounding. AAAI 2021: 13587-13594 - [c52]Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots:
Fast and Efficient Locomotion via Learned Gait Transitions. CoRL 2021: 773-783 - [c51]Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang:
Visual-Locomotion: Learning to Walk on Complex Terrains with Vision. CoRL 2021: 1291-1302 - [c50]Atil Iscen, George Yu, Alejandro Escontrela, Deepali Jain, Jie Tan, Ken Caluwaerts:
Learning Agile Locomotion Skills with a Mentor. ICRA 2021: 2019-2025 - [c49]Yifeng Jiang, Tingnan Zhang, Daniel Ho, Yunfei Bai, C. Karen Liu, Sergey Levine, Jie Tan:
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning. ICRA 2021: 2884-2890 - [c48]Jie Tan, Daniel Feitosa, Paris Avgeriou:
Do practitioners intentionally self-fix Technical Debt and why? ICSME 2021: 251-262 - [c47]Jie Tan, Hanhua Chen, Yonghui Wang, Hai Jin:
Whale: efficient one-to-many data partitioning in RDMA-assisted distributed stream processing systems. SC 2021: 101 - [i33]Renke Huang, Yujiao Chen, Tianzhixi Yin, Qiuhua Huang, Jie Tan, Wenhao Yu, Xinya Li, Ang Li, Yan Du:
Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning. CoRR abs/2101.05317 (2021) - [i32]Yifeng Jiang, Tingnan Zhang, Daniel Ho, Yunfei Bai, C. Karen Liu, Sergey Levine, Jie Tan:
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning. CoRR abs/2101.06005 (2021) - [i31]Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine:
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned. CoRR abs/2102.02915 (2021) - [i30]Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots:
Fast and Efficient Locomotion via Learned Gait Transitions. CoRR abs/2104.04644 (2021) - [i29]Zongshen Mu, Siliang Tang, Jie Tan, Qiang Yu, Yueting Zhuang:
Disentangled Motif-aware Graph Learning for Phrase Grounding. CoRR abs/2104.06008 (2021) - [i28]Jie Tan, Daniel Feitosa, Paris Avgeriou:
Do practitioners intentionally self-fix Technical Debt and why? CoRR abs/2106.11904 (2021) - [i27]Maks Sorokin, Jie Tan, C. Karen Liu, Sehoon Ha:
Learning to Navigate Sidewalks in Outdoor Environments. CoRR abs/2109.05603 (2021) - [i26]Laura M. Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. CoRR abs/2110.05457 (2021) - [i25]Jie Tan, Daniel Feitosa, Paris Avgeriou:
Does it matter who pays back Technical Debt? An empirical study of self-fixed TD. CoRR abs/2110.05928 (2021) - [i24]Yan Du, Qiuhua Huang, Renke Huang, Tianzhixi Yin, Jie Tan, Wenhao Yu, Xinya Li:
Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery. CoRR abs/2111.14352 (2021) - [i23]Michael Luo, Ashwin Balakrishna, Brijen Thananjeyan, Suraj Nair, Julian Ibarz, Jie Tan, Chelsea Finn, Ion Stoica, Ken Goldberg:
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance. CoRR abs/2112.03575 (2021) - 2020
- [j39]Cong Liu, Qingtian Zeng, Hua Duan, Lei Wang, Jie Tan, Chongguang Ren, WangYang Yu:
Petri Net Based Data-Flow Error Detection and Correction Strategy for Business Processes. IEEE Access 8: 43265-43276 (2020) - [j38]Huamin Wang, Jie Tan, Shiping Wen:
Exponential Stability Analysis of Mixed Delayed Quaternion-Valued Neural Networks Via Decomposed Approach. IEEE Access 8: 91501-91509 (2020) - [j37]Zhencheng Fang, Jie Tan, Shufang Wu, Mo Li, Chunhui Wang, Yongchu Liu, Huaiqiu Zhu:
PlasGUN: gene prediction in plasmid metagenomic short reads using deep learning. Bioinform. 36(10): 3239-3241 (2020) - [j36]Yang Yang, Chuang Xu, Dong Yue, Xiangnan Zhong, Xuefeng Si, Jie Tan:
Event-triggered ADP control of a class of non-affine continuous-time nonlinear systems using output information. Neurocomputing 378: 304-314 (2020) - [j35]Zhaohui Chen, Jun Cheng, Jie Tan, Zhong Cao:
Decentralized finite-time control for linear interconnected fractional-order systems with input saturation. J. Frankl. Inst. 357(10): 6137-6153 (2020) - [j34]Chengbao Liu, Jie Tan, Xuelei Wang:
A data-driven decision-making optimization approach for inconsistent lithium-ion cell screening. J. Intell. Manuf. 31(4): 833-845 (2020) - [j33]Wenhao Yu, Jie Tan, Yunfei Bai, Erwin Coumans, Sehoon Ha:
Learning Fast Adaptation With Meta Strategy Optimization. IEEE Robotics Autom. Lett. 5(2): 2950-2957 (2020) - [j32]Qijun Hu, Ziyuan Feng, Leping He, Zihe Shou, Junsen Zeng, Jie Tan, Yu Bai, Qijie Cai, Yucheng Gu:
Accuracy Improvement of Binocular Vision Measurement System for Slope Deformation Monitoring. Sensors 20(7): 1994 (2020) - [j31]Qijun Hu, Chunlin Ma, Yu Bai, Leping He, Jie Tan, Qijie Cai, Junsen Zeng:
A Rapid Method of the Rock Mass Surface Reconstruction for Surface Deformation Detection at Close Range. Sensors 20(18): 5371 (2020) - [j30]Qiuhua Huang, Renke Huang, Weituo Hao, Jie Tan, Rui Fan, Zhenyu Huang:
Adaptive Power System Emergency Control Using Deep Reinforcement Learning. IEEE Trans. Smart Grid 11(2): 1171-1182 (2020) - [j29]Yang Yang, Jie Tan, Dong Yue:
Prescribed Performance Tracking Control of a Class of Uncertain Pure-Feedback Nonlinear Systems With Input Saturation. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1733-1745 (2020) - [c46]Jie Tan, Changlin Yang, Ying Li, Siliang Tang, Chen Huang, Yueting Zhuang:
Neural-DINF: A Neural Network based Framework for Measuring Document Influence. ACL 2020: 6004-6009 - [c45]Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust:
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous. CoRL 2020: 711-725 - [c44]Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan:
Learning to Walk in the Real World with Minimal Human Effort. CoRL 2020: 1110-1120 - [c43]Ali Marjaninejad, Jie Tan, Francisco J. Valero Cuevas:
Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance Learning. EMBC 2020: 4680-4686 - [c42]Jie Tan, Daniel Feitosa, Paris Avgeriou:
Investigating the Relationship between Co-occurring Technical Debt in Python. SEAA 2020: 487-494 - [c41]Xiwei Bai, Jie Tan:
Unsupervised Situational Assessment for Power Grid Voltage Stability Monitoring Based on Siamese Autoencoder and k-Means Clustering. ICAIS (1) 2020: 510-521 - [c40]Yan Fu, Shiqi Li, Kan Qiu, Xue Li, Li Chen, Jie Tan:
Language-Facilitated Human-Robot Cooperation within a Human Cognitive Modeling Infrastructure: A Case in Space Exploration Task. ICHMS 2020: 1-3 - [c39]Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha:
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. ICRA 2020: 679-685 - [c38]Jie Tan, Daniel Feitosa, Paris Avgeriou:
An empirical study on self-fixed technical debt. TechDebt@ICSE 2020: 11-20 - [c37]Cheng Pan, Jie Tan:
Probabilistic Prediction of Solar Generation Based on Stacked Autoencoder and Lower Upper Bound Estimation Method. IJCNN 2020: 1-8 - [c36]Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan:
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. IROS 2020: 3769-3776 - [c35]Yujin Tang, Jie Tan, Tatsuya Harada:
Learning Agile Locomotion via Adversarial Training. IROS 2020: 6098-6105 - [c34]Jie Tan, Xiubin Sha, Bo Dai, Ting Lu:
Wireless Technology and Protocol for Hot and Digital Twins. Kaleidoscope 2020: 1-8 - [c33]Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, Sergey Levine:
Learning Agile Robotic Locomotion Skills by Imitating Animals. Robotics: Science and Systems 2020 - [c32]Huanjie Wang, Xiwei Bai, Jie Tan:
Uncertainty Quantification of Bearing Remaining Useful Life Based on Convolutional Neural Network. SSCI 2020: 2893-2900 - [i22]Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan:
Learning to Walk in the Real World with Minimal Human Effort. CoRR abs/2002.08550 (2020) - [i21]Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan:
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. CoRR abs/2003.01239 (2020) - [i20]Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust:
Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation. CoRR abs/2003.06906 (2020) - [i19]Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, Sergey Levine:
Learning Agile Robotic Locomotion Skills by Imitating Animals. CoRR abs/2004.00784 (2020) - [i18]Renke Huang, Yujiao Chen, Tianzhixi Yin, Xinya Li, Ang Li, Jie Tan, Qiuhua Huang:
Accelerated Deep Reinforcement Learning Based Load Shedding for Emergency Voltage Control. CoRR abs/2006.12667 (2020) - [i17]Yujin Tang, Jie Tan, Tatsuya Harada:
Learning Agile Locomotion via Adversarial Training. CoRR abs/2008.00603 (2020) - [i16]Krishnan Srinivasan, Benjamin Eysenbach, Sehoon Ha, Jie Tan, Chelsea Finn:
Learning to be Safe: Deep RL with a Safety Critic. CoRR abs/2010.14603 (2020) - [i15]Alejandro Escontrela, George Yu, Peng Xu, Atil Iscen, Jie Tan:
Zero-Shot Terrain Generalization for Visual Locomotion Policies. CoRR abs/2011.05513 (2020) - [i14]Atil Iscen, George Yu, Alejandro Escontrela, Deepali Jain, Jie Tan, Ken Caluwaerts:
Learning Agile Locomotion Skills with a Mentor. CoRR abs/2011.05541 (2020) - [i13]Thanh Long Vu, Sayak Mukherjee, Tim Yin, Renke Huang, Jie Tan, Qiuhua Huang:
Safe Reinforcement Learning for Emergency LoadShedding of Power Systems. CoRR abs/2011.09664 (2020)
2010 – 2019
- 2019
- [j28]Jun Wang, Jianmin Pang, Xiaonan Liu, Feng Yue, Jie Tan, Liguo Fu:
Dynamic Translation Optimization Method Based on Static Pre-Translation. IEEE Access 7: 21491-21501 (2019) - [j27]Cheng Pan, Jie Tan:
Day-Ahead Hourly Forecasting of Solar Generation Based on Cluster Analysis and Ensemble Model. IEEE Access 7: 112921-112930 (2019) - [j26]Yang Yang, Jie Tan, Dong Yue:
Prescribed performance control of one-DOF link manipulator with uncertainties and input saturation constraint. IEEE CAA J. Autom. Sinica 6(1): 148-157 (2019) - [j25]Huamin Wang, Jie Tan, Tingwen Huang, Shukai Duan:
Impulsive delayed integro-differential inequality and its application on IMNNs with discrete and distributed delays. Neurocomputing 341: 99-106 (2019) - [j24]Yaning Li, Xuelei Wang, Jie Tan:
Integrated modeling of coking flue gas indices based on mechanism model and improved neural network. Trans. Inst. Meas. Control 41(1): 85-96 (2019) - [c31]Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Jie Tan, Chelsea Finn:
NoRML: No-Reward Meta Learning. AAMAS 2019: 323-331 - [c30]Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Tingnan Zhang, Jie Tan, Vikas Sindhwani:
Data Efficient Reinforcement Learning for Legged Robots. CoRL 2019: 1-10 - [c29]Tuomas Haarnoja, Sehoon Ha, Aurick Zhou, Jie Tan, George Tucker, Sergey Levine:
Learning to Walk Via Deep Reinforcement Learning. Robotics: Science and Systems 2019 - [i12]Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Jie Tan, Chelsea Finn:
NoRML: No-Reward Meta Learning. CoRR abs/1903.01063 (2019) - [i11]Qiuhua Huang, Weituo Hao, Jie Tan, Rui Fan, Zhenyu Huang:
Adaptive Power System Emergency Control using Deep Reinforcement Learning. CoRR abs/1903.03712 (2019) - [i10]Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Tingnan Zhang, Jie Tan, Vikas Sindhwani:
Data Efficient Reinforcement Learning for Legged Robots. CoRR abs/1907.03613 (2019) - [i9]Ali Marjaninejad, Jie Tan, Francisco J. Valero Cuevas:
Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance Learning. CoRR abs/1909.12436 (2019) - [i8]Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha:
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. CoRR abs/1909.12971 (2019) - [i7]Wenhao Yu, Jie Tan, Yunfei Bai, Erwin Coumans, Sehoon Ha:
Learning Fast Adaptation with Meta Strategy Optimization. CoRR abs/1909.12995 (2019) - [i6]