Noah Siegel

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研究焦点

主要成就

代表论文

1. 1
   Learning agile soccer skills for a bipedal robot with deep reinforcement learning

   147 次引用 · 2024
2. 2
   Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning

   55 次引用 · 2020
3. 3
   Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning

   48 次引用 · 2020
4. 4
   Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors

   20 次引用 · 2022
5. 5
   Regularized Hierarchical Policies for Compositional Transfer in Robotics.

   14 次引用 · 2019
6. 6
   Data-efficient Hindsight Off-policy Option Learning

   9 次引用 · 2020
7. 7
   Compositional Transfer in Hierarchical Reinforcement Learning

   7 次引用 · 2020
8. 8
   Data-efficient Hindsight Off-policy Option Learning

   6 次引用 · 2021
9. 9
   Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models

   6 次引用 · 2019
10. 10
    Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

    6 次引用 · 2023

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