Tianwei Ni

According to our database, Tianwei Ni authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Do Transformer World Models Give Better Policy Gradients?

Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D'Oro, Pierre-Luc Bacon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bridging State and History Representations: Understanding Self-Predictive RL.

Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel Ma, Clement Gehring, Aditya Mahajan, Pierre-Luc Bacon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers.

Pingcheng Dong, Yonghao Tan, Dong Zhang, Tianwei Ni, Xuejiao Liu, Yu Liu, Peng Luo, Luhong Liang, Shih-Yang Liu, Xijie Huang, Huaiyu Zhu, Yun Pan, Fengwei An, Kwang-Ting Cheng

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Towards Disturbance-Free Visual Mobile Manipulation.

Tianwei Ni, Kiana Ehsani, Luca Weihs, Jordi Salvador

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment.

Tianwei Ni, Michel Ma, Benjamin Eysenbach, Pierre-Luc Bacon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs.

Tianwei Ni, Benjamin Eysenbach, Ruslan Salakhutdinov

Proceedings of the International Conference on Machine Learning, 2022

2021

Individualized Mutual Adaptation in Human-Agent Teams.

Huao Li, Tianwei Ni, Siddharth Agrawal, Fan Jia, Suhas Raja, Yikang Gui, Dana Hughes, Michael Lewis, Katia P. Sycara

IEEE Trans. Hum. Mach. Syst., 2021

Recurrent Model-Free RL is a Strong Baseline for Many POMDPs.

Tianwei Ni, Benjamin Eysenbach, Ruslan Salakhutdinov

CoRR, 2021

Adaptive Agent Architecture for Real-time Human-Agent Teaming.

Tianwei Ni, Huao Li, Siddharth Agrawal, Suhas Raja, Fan Jia, Yikang Gui, Dana Hughes, Michael Lewis, Katia P. Sycara

CoRR, 2021

2020

Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient.

Yufei Wang, Tianwei Ni

CoRR, 2020

Lightweight Convolutional Neural Networks for Vehicle Target Recognition.

Jintao Wang, Ping Ji, Wen Xiao, Tianwei Ni, Wei Sun, Sheng Zeng

Proceedings of the 5th IEEE International Conference on Intelligent Transportation Engineering, 2020

f-IRL: Inverse Reinforcement Learning via State Marginal Matching.

Tianwei Ni, Harshit S. Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Ben Eysenbach

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Elastic Boundary Projection for 3D Medical Image Segmentation.

Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Elastic Boundary Projection for 3D Medical Imaging Segmentation.

Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille

CoRR, 2018

Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation.

Huangjie Zheng, Lingxi Xie, Tianwei Ni, Ya Zhang, Yanfeng Wang, Qi Tian, Elliot K. Fishman, Alan L. Yuille

CoRR, 2018