Yang, Mengjiao

13 publications

AISTATS 2022 Offline Policy Selection Under Uncertainty Mengjiao Yang, Bo Dai, Ofir Nachum, George Tucker, Dale Schuurmans

NeurIPS 2022 Chain of Thought Imitation with Procedure Cloning Mengjiao Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum

ICML 2022 Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai

ICML 2022 Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization Hanjun Dai, Mengjiao Yang, Yuan Xue, Dale Schuurmans, Bo Dai

NeurIPS 2022 Multi-Game Decision Transformers Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Sergio Guadarrama, Ian Fischer, Winnie Xu, Eric Jang, Henryk Michalewski, Igor Mordatch

ICLR 2022 TRAIL: Near-Optimal Imitation Learning with Suboptimal Data Mengjiao Yang, Sergey Levine, Ofir Nachum

ICLR 2021 Benchmarks for Deep Off-Policy Evaluation Justin Fu, Mohammad Norouzi, Ofir Nachum, George Tucker, Ziyu Wang, Alexander Novikov, Mengjiao Yang, Michael R Zhang, Yutian Chen, Aviral Kumar, Cosmin Paduraru, Sergey Levine, Thomas Paine

NeurIPS 2021 Combiner: Full Attention Transformer with Sparse Computation Cost Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai

NeurIPSW 2021 Offline Policy Selection Under Uncertainty Mengjiao Yang, Bo Dai, Ofir Nachum, George Tucker, Dale Schuurmans

NeurIPS 2021 Provable Representation Learning for Imitation with Contrastive Fourier Features Ofir Nachum, Mengjiao Yang

ICML 2021 Representation Matters: Offline Pretraining for Sequential Decision Making Mengjiao Yang, Ofir Nachum

ICML 2020 Energy-Based Processes for Exchangeable Data Mengjiao Yang, Bo Dai, Hanjun Dai, Dale Schuurmans

NeurIPS 2020 Off-Policy Evaluation via the Regularized Lagrangian Mengjiao Yang, Ofir Nachum, Bo Dai, Lihong Li, Dale Schuurmans