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Tianwei Ni
Tianwei Ni
Mila, University of Montreal
Bestätigte E-Mail-Adresse bei mila.quebec - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
156*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
872020
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
462019
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
432023
Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient
Y Wang*, T Ni*
ICML AutoML Workshop, 2020
352020
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
242024
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
242021
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
82023
Continuous control on time
T Ni, E Jang
ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 2022
82022
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
82018
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
42020
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
32024
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