Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Jie Tan

How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned


Feb 04, 2021
Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine

* Journal of Robotics Research (IJRR), February 2021 

  Access Paper or Ask Questions

SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning


Jan 15, 2021
Yifeng Jiang, Tingnan Zhang, Daniel Ho, Yunfei Bai, C. Karen Liu, Sergey Levine, Jie Tan

* Submitted to ICRA 2021 

  Access Paper or Ask Questions

Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning


Jan 13, 2021
Renke Huang, Yujiao Chen, Tianzhixi Yin, Qiuhua Huang, Jie Tan, Wenhao Yu, Xinya Li, Ang Li, Yan Du


  Access Paper or Ask Questions

Learning Agile Locomotion Skills with a Mentor


Nov 11, 2020
Atil Iscen, George Yu, Alejandro Escontrela, Deepali Jain, Jie Tan, Ken Caluwaerts


  Access Paper or Ask Questions

Zero-Shot Terrain Generalization for Visual Locomotion Policies


Nov 11, 2020
Alejandro Escontrela, George Yu, Peng Xu, Atil Iscen, Jie Tan


  Access Paper or Ask Questions

Learning to be Safe: Deep RL with a Safety Critic


Oct 27, 2020
Krishnan Srinivasan, Benjamin Eysenbach, Sehoon Ha, Jie Tan, Chelsea Finn

* In submission, 16 pages (including appendix) 

  Access Paper or Ask Questions

Learning Agile Locomotion via Adversarial Training


Aug 03, 2020
Yujin Tang, Jie Tan, Tatsuya Harada

* To appear at the International Conference on Intelligent Robots and Systems (IROS 2020) as a full paper 

  Access Paper or Ask Questions

Learning Agile Robotic Locomotion Skills by Imitating Animals


Apr 02, 2020
Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Lee, Jie Tan, Sergey Levine


  Access Paper or Ask Questions

Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation


Mar 15, 2020
Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust


  Access Paper or Ask Questions

Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning


Mar 02, 2020
Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan

* For associated video file, see http://youtu.be/_QPMCDdFC3E 

  Access Paper or Ask Questions

Learning to Walk in the Real World with Minimal Human Effort


Feb 27, 2020
Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan


  Access Paper or Ask Questions

Policies Modulating Trajectory Generators


Oct 07, 2019
Atil Iscen, Ken Caluwaerts, Jie Tan, Tingnan Zhang, Erwin Coumans, Vikas Sindhwani, Vincent Vanhoucke

* In Proceedings of The 2nd Conference on Robot Learning, volume 87 of Proceedings of Machine Learning Research, pages 916-926. PMLR, 29-31 Oct 2018 

  Access Paper or Ask Questions

Learning Fast Adaptation with Meta Strategy Optimization


Sep 28, 2019
Wenhao Yu, Jie Tan, Yunfei Bai, Erwin Coumans, Sehoon Ha


  Access Paper or Ask Questions

Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation


Sep 27, 2019
Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha


  Access Paper or Ask Questions

Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance Learning


Sep 26, 2019
Ali Marjaninejad, Jie Tan, Francisco J. Valero-Cuevas


  Access Paper or Ask Questions

Data Efficient Reinforcement Learning for Legged Robots


Jul 08, 2019
Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Tingnan Zhang, Jie Tan, Vikas Sindhwani


  Access Paper or Ask Questions

Learning to Walk via Deep Reinforcement Learning


Mar 25, 2019
Tuomas Haarnoja, Sehoon Ha, Aurick Zhou, Jie Tan, George Tucker, Sergey Levine

* Videos: https://sites.google.com/view/minitaur-locomotion/ . arXiv admin note: substantial text overlap with arXiv:1812.05905 

  Access Paper or Ask Questions

Adaptive Power System Emergency Control using Deep Reinforcement Learning


Mar 09, 2019
Qiuhua Huang, Weituo Hao, Jie Tan, Rui Fan, Zhenyu Huang

* 8 pages 

  Access Paper or Ask Questions

NoRML: No-Reward Meta Learning


Mar 04, 2019
Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Jie Tan, Chelsea Finn


  Access Paper or Ask Questions

Soft Actor-Critic Algorithms and Applications


Jan 29, 2019
Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, Sergey Levine

* arXiv admin note: substantial text overlap with arXiv:1801.01290 

  Access Paper or Ask Questions

Optimizing Simulations with Noise-Tolerant Structured Exploration


May 20, 2018
Krzysztof Choromanski, Atil Iscen, Vikas Sindhwani, Jie Tan, Erwin Coumans


  Access Paper or Ask Questions

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots


May 16, 2018
Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke

* Accompanying video: https://www.youtube.com/watch?v=lUZUr7jxoqM 

  Access Paper or Ask Questions

Learning Human Behaviors for Robot-Assisted Dressing


Sep 20, 2017
Alexander Clegg, Wenhao Yu, Jie Tan, Charlie C. Kemp, Greg Turk, C. Karen Liu

* 8 pages, 9 figures 

  Access Paper or Ask Questions

Learning to Navigate Cloth using Haptics


Jul 31, 2017
Alexander Clegg, Wenhao Yu, Zackory Erickson, Jie Tan, C. Karen Liu, Greg Turk

* Supplementary video available at https://youtu.be/iHqwZPKVd4A. Related publications http://www.cc.gatech.edu/~karenliu/Robotic_dressing.html 

  Access Paper or Ask Questions

Large-Scale Evolution of Image Classifiers


Jun 11, 2017
Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka Leon Suematsu, Jie Tan, Quoc Le, Alex Kurakin

* Accepted for publication at ICML 2017 (34th International Conference on Machine Learning) 

  Access Paper or Ask Questions

Preparing for the Unknown: Learning a Universal Policy with Online System Identification


May 15, 2017
Wenhao Yu, Jie Tan, C. Karen Liu, Greg Turk

* Accepted as a conference paper at RSS 2017 

  Access Paper or Ask Questions