Katie Byl
収録論文 11本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- Learning Transferable Friction Models and LuGre Identification Via Physics-Informed Neural Networks2025/4/1
- Leveraging Reward Gradients For Reinforcement Learning in Differentiable Physics Simulations2022/3/1
- Direct Random Search for Fine Tuning of Deep Reinforcement Learning Policies2021/9/1
- Combining Deep Reinforcement Learning And Local Control For The Acrobot Swing-up And Balance Task2020/12/1
- Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning2020/12/1
- Mesh Based Analysis of Low Fractal Dimension Reinforcement Learning Policies2020/12/1
- Combining Benefits from Trajectory Optimization and Deep Reinforcement Learning2019/10/1
- Mesh-based Tools to Analyze Deep Reinforcement Learning Policies for Underactuated Biped Locomotion2019/3/1
- Training in Task Space to Speed Up and Guide Reinforcement Learning2019/3/1
- Toward Efficient and Robust Biped Walking Optimization2018/7/1
- First Passage Value2014/12/1