每天一篇论文 310/365 Survey of Model-Based Reinforcement Learning Applications on Robotics
Survey of Model-Based Reinforcement Learning Applications on Robotics 基于模型的强化学习在机器人的应用 摘要 强化学习是机器人学习新任务的一种很有吸引力的方法。相关文献提供了大量的方法，但同时也清楚地表明了在现实环境中也有许多挑战。目前的预期提高了对适应性机器人的需求。我们认为，采用基于模型的强化学习，可以扩展机器人系统目前有限
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相关文章
- 1. 每天一篇论文 330/365 Survey of Model-Based Reinforcement Learning:Applications on Robotics（补1）
- 2. （转）Applications of Reinforcement Learning in Real World
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- 4. 每天一篇论文 296/365 Reinforcement Learning Tracking Control for Robotic Manipulator
- 5. 【论文笔记】Deep Learning on Graphs: A Survey
- 6. 综述论文“A Survey of Zero-Shot Learning: Settings, Methods, and Applications”
- 7. Deep Learning on Graphs: A Survey论文笔记
- 8. 每天一篇论文 271/365 Effificient Epileptic Seizure Prediction Based on Deep Learning
- 9. [survey 2019] A Survey of Zero-Shot Learning: Settings, Methods, and Applications
- 10. Inspirational Applications of Deep Learning