Tianwei Ni

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Benjamin EysenbachPrinceton UniversityVerified email at princeton.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Yufei WangPhD student at Robotics Institute, Carneige Mellon UniversityVerified email at andrew.cmu.edu
Pierre-Luc BaconUniversity of MontrealVerified email at mila.quebec
Michel MaPhD candidate, University of Montreal, MilaVerified email at mila.quebec
Katia SycaraProfessor School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Huao LiUniversity of PittsburghVerified email at pitt.edu
Harshit SikchiUniversity of Texas at AustinVerified email at cs.utexas.edu
Lisa LeeGoogle DeepMindVerified email at google.com
Tejus GuptaCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Clement GehringMilaVerified email at csail.mit.edu
Aditya MahajanMcGill UniversityVerified email at mcgill.ca
Luca WeihsResearch Scientist, Allen Institute for Artificial IntelligenceVerified email at allenai.org
Jordi SalvadorAllen Institute for AIVerified email at allenai.org
Kiana EhsaniSenior Research Scientist @ PRIOR, AI2Verified email at allenai.org
Eric JangHalodi RoboticsVerified email at halodi.com
Pierluca D'OroMila & MetaVerified email at mila.quebec

Tianwei Ni

Mila, University of Montreal, Amazon

Verified email at mila.quebec - Homepage

Reinforcement Learning Representation Learning Uncertainty


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs T Ni, B Eysenbach, R Salakhutdinov International Conference on Machine Learning (ICML), 2022	127*	2022
f-IRL: Inverse Reinforcement Learning via State Marginal Matching T Ni, H Sikchi, Y Wang, T Gupta, L Lee°, B Eysenbach° Conference on Robot Learning (CoRL), 2020	72	2020
Elastic Boundary Projection for 3D Medical Image Segmentation T Ni, L Xie, H Zheng, EK Fishman, AL Yuille IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019	43	2019
Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient Y Wang, T Ni ICML AutoML Workshop, 2020	29	2020
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment T Ni, M Ma, B Eysenbach, PL Bacon Conference on Neural Information Processing Systems (NeurIPS), 2023	21	2023
Individualized mutual adaptation in human-agent teams H Li, T Ni, S Agrawal, F Jia, S Raja, Y Gui, D Hughes, M Lewis, K Sycara IEEE Transactions on Human-Machine Systems 51 (6), 706-714, 2021	19	2021
Bridging State and History Representations: Understanding Self-Predictive RL T Ni, B Eysenbach, E Seyedsalehi, M Ma, C Gehring, A Mahajan, ... International Conference on Learning Representations (ICLR), 2024	10	2024
Phase Collaborative Network for Two-Phase Medical Image Segmentation H Zheng, L Xie, T Ni, Y Zhang, YF Wang, Q Tian, EK Fishman, AL Yuille arXiv preprint arXiv:1811.11814, 2018	8	2018
Towards disturbance-free visual mobile manipulation T Ni, K Ehsani, L Weihs°, J Salvador° Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023	7	2023
Continuous control on time T Ni, E Jang ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 2022	7	2022
Team Synchronization and Individual Contributions in Coop-Space Fortress H Li, T Ni, S Agrawal, D Hughes, K Sycara Proceedings of the Human Factors and Ergonomics Society Annual Meeting (HFES …, 2020	4	2020
Do Transformer World Models Give Better Policy Gradients? M Ma, T Ni, C Gehring, P D'Oro, PL Bacon International Conference on Machine Learning (ICML), 2024		2024

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