Learning Motor Skills From Algorithms to Robot Experiments /
This book presents the state of the art in reinforcement learning applied to robotics both in terms of novel algorithms and applications. It discusses recent approaches that allow robots to learn motor skills and presents tasks that need to take into account the dynamic behavior of the robot and its...
Guardado en:
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| Formato: | Libro electrónico |
| Lenguaje: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Colección: | Springer Tracts in Advanced Robotics,
97 |
| Materias: | |
| Acceso en línea: | http://dx.doi.org/10.1007/978-3-319-03194-1 |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
Tabla de Contenidos:
- Reinforcement Learning in Robotics: A Survey
- Movement Templates for Learning of Hitting and Batting
- Policy Search for Motor Primitives in Robotics
- Reinforcement Learning to Adjust Parameterized Motor Primitives to New Situations
- Learning Prioritized Control of Motor Primitives.