Kimin Lee

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研究焦点

主要成就

代表论文

1. 1
   Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning

   48 次引用 · 2020
2. 2
   Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning

   47 次引用 · 2019
3. 3
   Context-aware Dynamics Model for Generalization in Model-Based\n Reinforcement Learning

   28 次引用 · 2020
4. 4
   Towards More Generalizable One-shot Visual Imitation Learning

   27 次引用 · 2022
5. 5
   Offline-to-Online Reinforcement Learning via Balanced Replay and\n Pessimistic Q-Ensemble

   18 次引用 · 2021
6. 6
   Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning

   17 次引用 · 2020
7. 7
   SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning

   14 次引用 · 2022
8. 8
   PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

   13 次引用 · 2021
9. 9
   Masked World Models for Visual Control

   10 次引用 · 2022
10. 10
    Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

    8 次引用 · 2022

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