Ofir Nachum

Multimodal Web Navigation with Instruction-Finetuned Foundation Models ICLR 2024 A Mixture-of-Expert Approach to RL-based Dialogue Management ICLR 2023 Contrastive Value Learning: Implicit Models for Simple Offline RL CoRL 2023 Dichotomy of Control: Separating What You Can Control from What You Cannot ICLR 2023 Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation NeurIPS 2023 Learning Universal Policies via Text-Guided Video Generation NeurIPS 2023 Multi-Environment Pretraining Enables Transfer to Action Limited Datasets ICML 2023 Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CoRL 2023 RT-1: Robotics Transformer for Real-World Control at Scale RSS 2023 Supervised Pretraining Can Learn In-Context Reinforcement Learning NeurIPS 2023 Understanding HTML with Large Language Models EMNLP 2023 Chain of Thought Imitation with Procedure Cloning NeurIPS 2022 Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions NeurIPS 2022 Model Selection in Batch Policy Optimization ICML 2022 Multi-Game Decision Transformers NeurIPS 2022 Offline Policy Selection under Uncertainty AISTATS 2022 Oracle Inequalities for Model Selection in Offline Reinforcement Learning NeurIPS 2022 Policy Gradients Incorporating the Future ICLR 2022 TRAIL: Near-Optimal Imitation Learning with Suboptimal Data ICLR 2022 Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error ICML 2022 Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters NeurIPS 2022 Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization ICLR 2021 Benchmarks for Deep Off-Policy Evaluation ICLR 2021 Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization ICLR 2021 Near Optimal Policy Optimization via REPS NeurIPS 2021 Offline Reinforcement Learning with Fisher Divergence Critic Regularization ICML 2021 OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning ICLR 2021 Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning ICML 2021 Provable Representation Learning for Imitation with Contrastive Fourier Features NeurIPS 2021 Representation Matters: Offline Pretraining for Sequential Decision Making ICML 2021 BRPO: Batch Residual Policy Optimization IJCAI 2020 CoinDICE: Off-Policy Confidence Interval Estimation NeurIPS 2020 Identifying and Correcting Label Bias in Machine Learning AISTATS 2020 Imitation Learning via Off-Policy Distribution Matching ICLR 2020 Off-Policy Evaluation via the Regularized Lagrangian NeurIPS 2020 Safe Policy Learning for Continuous Control CoRL 2020 DeepMDP: Learning Continuous Latent Space Models for Representation Learning ICML 2019 DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NeurIPS 2019 Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real CoRL 2019 Near-Optimal Representation Learning for Hierarchical Reinforcement Learning ICLR 2019 Robustness Guarantees for Density Clustering AISTATS 2019 The Laplacian in RL: Learning Representations with Efficient Approximations ICLR 2019 A Lyapunov-based Approach to Safe Reinforcement Learning NeurIPS 2018 Data-Efficient Hierarchical Reinforcement Learning NeurIPS 2018 MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks CVPR 2018 Path Consistency Learning in Tsallis Entropy Regularized MDPs ICML 2018 Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018 Trust-PCL: An Off-Policy Trust Region Method for Continuous Control ICLR 2018 Bridging the Gap Between Value and Policy Based Reinforcement Learning NeurIPS 2017