Feb 24, 2021 · Title:Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. Authors:Isaac J. Sledge, Darshan W. Bryner, Jose ...
In [32], Jenkins and Mataric showed how to segment motion sequences into primitives, thereby building a motion-primitive library. They perform segmentation ...
Reinforcement learning in large-scale environments is challenging due to the many possible actions that can be taken in specific situations.
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. @article{Sledge2021AnnotatingMP, title={Annotating Motion Primitives ...
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. Isaac J. Sledge, Darshan W. Bryner, Jose C. Principe. Nov 26 2021. cs.LG ...
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. Citing Article. January 2022. IEEE Transactions on Emerging Topics in ...
Sledge IBryner DPrincipe J(2022)Annotating Motion Primitives for Simplifying Action Search in Reinforcement LearningIEEE Transactions on Emerging Topics in ...
由于在特定情况下可以采取的许多可能采取的行动，大规模环境中的强化学习是具有挑战性的。我们以前开发了一种限制的方法，因此通过使用运动原语来加速搜索过程; ...
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning ... motion primitives are sequences of pre-specified actions taken ...
scholarly journals Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning · IEEE Transactions on Emerging Topics in ...