Arboral satisfaction: Recognition and LP approximation von Demaine, Erik D., Ganesan, Varun, Kontsevoi, Vladislav, Liu, Qipeng, Liu, Quanquan, Ma, Fermi, Nachum, Ofir, Sidford, Aaron, Waingarten, Erik, Ziegler, Daniel

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

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

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Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation von Kostrikov, Ilya, Nachum, Ofir

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Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation von Brandfonbrener, David, Nachum, Ofir, Bruna, Joan

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Reinforcement Learning via Fenchel-Rockafellar Duality von Nachum, Ofir, Dai, Bo

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Group-based Fair Learning Leads to Counter-intuitive Predictions von Nachum, Ofir, Jiang, Heinrich

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Identifying and Correcting Label Bias in Machine Learning von Jiang, Heinrich, Nachum, Ofir

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

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Contrastive Value Learning: Implicit Models for Simple Offline RL von Mazoure, Bogdan, Eysenbach, Benjamin, Nachum, Ofir, Tompson, Jonathan

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Dichotomy of Control: Separating What You Can Control from What You Cannot von Yang, Mengjiao, Schuurmans, Dale, Abbeel, Pieter, Nachum, Ofir

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

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Joint Representation Training in Sequential Tasks with Shared Structure von Pacchiano, Aldo, Nachum, Ofir, Tripuraneni, Nilseh, Bartlett, Peter

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Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters von Ghasemipour, Seyed Kamyar Seyed, Gu, Shixiang Shane, Nachum, Ofir

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

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Model Selection in Batch Policy Optimization von Lee, Jonathan N, Tucker, George, Nachum, Ofir, Dai, Bo

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

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Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions von Mazoure, Bogdan, Kostrikov, Ilya, Nachum, Ofir, Tompson, Jonathan

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Supervised Pretraining Can Learn In-Context Reinforcement Learning von Lee, Jonathan N, Xie, Annie, Pacchiano, Aldo, Chandak, Yash, Finn, Chelsea, Nachum, Ofir, Brunskill, Emma

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Multimodal Web Navigation with Instruction-Finetuned Foundation Models von Furuta, Hiroki, Lee, Kuang-Huei, Nachum, Ofir, Matsuo, Yutaka, Faust, Aleksandra, Gu, Shixiang Shane, Gur, Izzeddin

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