Ofir Nachum

papers

1,401

total citations

papers (13)

Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters

NEURIPS 2022arXiv

citations

CoinDICE: Off-Policy Confidence Interval Estimation

NEURIPS 2020arXiv

citations

Chain of Thought Imitation with Procedure Cloning

NEURIPS 2022arXiv

citations

Provable Representation Learning for Imitation with Contrastive Fourier Features

NEURIPS 2021arXiv

citations

Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation

NEURIPS 2023arXiv

citations

Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions

NEURIPS 2022arXiv

citations

Oracle Inequalities for Model Selection in Offline Reinforcement Learning

NEURIPS 2022arXiv

citations

Near Optimal Policy Optimization via REPS

NEURIPS 2021arXiv

citations

Ofir Nachum

papers (13)

Learning Universal Policies via Text-Guided Video Generation

Multi-Game Decision Transformers

Multimodal Web Navigation with Instruction-Finetuned Foundation Models

Supervised Pretraining Can Learn In-Context Reinforcement Learning

Off-Policy Evaluation via the Regularized Lagrangian

Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters

CoinDICE: Off-Policy Confidence Interval Estimation

Chain of Thought Imitation with Procedure Cloning

Provable Representation Learning for Imitation with Contrastive Fourier Features

Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation

Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions

Oracle Inequalities for Model Selection in Offline Reinforcement Learning

Near Optimal Policy Optimization via REPS

papers (13)

Learning Universal Policies via Text-Guided Video Generation

Multi-Game Decision Transformers

Multimodal Web Navigation with Instruction-Finetuned Foundation Models

Supervised Pretraining Can Learn In-Context Reinforcement Learning

Off-Policy Evaluation via the Regularized Lagrangian

Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters

CoinDICE: Off-Policy Confidence Interval Estimation

Chain of Thought Imitation with Procedure Cloning

Provable Representation Learning for Imitation with Contrastive Fourier Features

Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation

Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions

Oracle Inequalities for Model Selection in Offline Reinforcement Learning

Near Optimal Policy Optimization via REPS