Ofir Nachum

According to our database1, Ofir Nachum authored at least 70 papers between 2017 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Multimodal Web Navigation with Instruction-Finetuned Foundation Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Barkour: Benchmarking Animal-level Agility with Quadruped Robots.
CoRR, 2023

Multimodal Web Navigation with Instruction-Finetuned Foundation Models.
CoRR, 2023

Foundation Models for Decision Making: Problems, Methods, and Opportunities.
CoRR, 2023


Learning Universal Policies via Text-Guided Video Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Supervised Pretraining Can Learn In-Context Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Environment Pretraining Enables Transfer to Action Limited Datasets.
Proceedings of the International Conference on Machine Learning, 2023

Dichotomy of Control: Separating What You Can Control from What You Cannot.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Mixture-of-Expert Approach to RL-based Dialogue Management.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Understanding HTML with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Contrastive Value Learning: Implicit Models for Simple Offline RL.
Proceedings of the Conference on Robot Learning, 2023


2022
Joint Representation Training in Sequential Tasks with Shared Structure.
CoRR, 2022

A Mixture-of-Expert Approach to RL-based Dialogue Management.
CoRR, 2022

Chain of Thought Imitation with Procedure Cloning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Oracle Inequalities for Model Selection in Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Game Decision Transformers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error.
Proceedings of the International Conference on Machine Learning, 2022

Model Selection in Batch Policy Optimization.
Proceedings of the International Conference on Machine Learning, 2022

TRAIL: Near-Optimal Imitation Learning with Suboptimal Data.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Policy Gradients Incorporating the Future.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Offline Policy Selection under Uncertainty.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization.
CoRR, 2021

Near Optimal Policy Optimization via REPS.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Provable Representation Learning for Imitation with Contrastive Fourier Features.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Representation Matters: Offline Pretraining for Sequential Decision Making.
Proceedings of the 38th International Conference on Machine Learning, 2021

Offline Reinforcement Learning with Fisher Divergence Critic Regularization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Benchmarks for Deep Off-Policy Evaluation.
Proceedings of the 9th International Conference on Learning Representations, 2021

OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation.
CoRR, 2020

RL Unplugged: Benchmarks for Offline Reinforcement Learning.
CoRR, 2020

D4RL: Datasets for Deep Data-Driven Reinforcement Learning.
CoRR, 2020

Reinforcement Learning via Fenchel-Rockafellar Duality.
CoRR, 2020

Off-Policy Evaluation via the Regularized Lagrangian.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CoinDICE: Off-Policy Confidence Interval Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

BRPO: Batch Residual Policy Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Imitation Learning via Off-Policy Distribution Matching.
Proceedings of the 8th International Conference on Learning Representations, 2020

Safe Policy Learning for Continuous Control.
Proceedings of the 4th Conference on Robot Learning, 2020

Identifying and Correcting Label Bias in Machine Learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
AlgaeDICE: Policy Gradient from Arbitrary Experience.
CoRR, 2019

Behavior Regularized Offline Reinforcement Learning.
CoRR, 2019

Group-based Fair Learning Leads to Counter-intuitive Predictions.
CoRR, 2019

Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
CoRR, 2019

Lyapunov-based Safe Policy Optimization for Continuous Control.
CoRR, 2019

DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DeepMDP: Learning Continuous Latent Space Models for Representation Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

The Laplacian in RL: Learning Representations with Efficient Approximations.
Proceedings of the 7th International Conference on Learning Representations, 2019

Near-Optimal Representation Learning for Hierarchical Reinforcement Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Robustness Guarantees for Density Clustering.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Data-Efficient Hierarchical Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Lyapunov-based Approach to Safe Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Smoothed Action Value Functions for Learning Gaussian Policies.
Proceedings of the 35th International Conference on Machine Learning, 2018

Path Consistency Learning in Tsallis Entropy Regularized MDPs.
Proceedings of the 35th International Conference on Machine Learning, 2018

Trust-PCL: An Off-Policy Trust Region Method for Continuous Control.
Proceedings of the 6th International Conference on Learning Representations, 2018

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Arboral satisfaction: Recognition and LP approximation.
Inf. Process. Lett., 2017

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks.
CoRR, 2017

Bridging the Gap Between Value and Policy Based Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Improving Policy Gradient by Exploring Under-appreciated Rewards.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning to Remember Rare Events.
Proceedings of the 5th International Conference on Learning Representations, 2017


  Loading...