Ofir Nachum

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研究焦点

主要成就

代表论文

1. 1
   RT-1: Robotics Transformer for Real-World Control at Scale

   512 次引用 · 2023
2. 2
   Data-Efficient Hierarchical Reinforcement Learning

   265 次引用 · 2018
3. 3
   Lyapunov-based Safe Policy Optimization for Continuous Control

   153 次引用 · 2019
4. 4
   A Lyapunov-based Approach to Safe Reinforcement Learning

   78 次引用 · 2018
5. 5
   Foundation Models for Decision Making: Problems, Methods, and Opportunities

   51 次引用 · 2023
6. 6
   Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization

   50 次引用 · 2020
7. 7
   RT-1: Robotics Transformer for Real-World Control at Scale

   38 次引用 · 2022
8. 8
   Learning Universal Policies via Text-Guided Video Generation

   29 次引用 · 2023
9. 9
   Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods

   26 次引用 · 2018
10. 10
    Benchmarks for Deep Off-Policy Evaluation

    25 次引用 · 2021

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