Ni, Tianwei

9 publications

TMLR 2025 Offline Learning and Forgetting for Reasoning with Large Language Models Tianwei Ni, Allen Nie, Sapana Chaudhary, Yao Liu, Huzefa Rangwala, Rasool Fakoor

ICLR 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

ICML 2024 Do Transformer World Models Give Better Policy Gradients? Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D’Oro, Pierre-Luc Bacon

WACV 2023 Towards Disturbance-Free Visual Mobile Manipulation Tianwei Ni, Kiana Ehsani, Luca Weihs, Jordi Salvador

NeurIPS 2023 When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment Tianwei Ni, Michel Ma, Benjamin Eysenbach, Pierre-Luc Bacon

NeurIPSW 2023 When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment Tianwei Ni, Michel Ma, Benjamin Eysenbach, Pierre-Luc Bacon

ICLRW 2022 Continuous Control on Time Tianwei Ni, Eric Jang

ICML 2022 Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni, Benjamin Eysenbach, Ruslan Salakhutdinov

CoRL 2020 F-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni, Harshit Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Ben Eysenbach