Learning robots : 6th European Workshop, EWLR-6, Brighton, England, August 1-2, 1997 : proceedings
Robot learning is a broad and interdisciplinary area. This holds with regard to the basic interests and the scienti c background of the researchers involved, as well as with regard to the techniques and approaches used. The interests that motivate the researchers in this eld range from fundamental r...
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| Tác giả của công ty: | |
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| Tác giả khác: | , |
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Loạt: | Lecture notes in computer science. Lecture notes in artificial intelligence
1545 |
| Những chủ đề: | |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Learning robots, 6th European Workshop, EWLR-6, Brighton, England, August 1-2, 1997, proceedings, Andreas Birk, John Demiris (eds.), 1998, Berlin, Springer, 1 vol. (VI-188 p.), Lecture notes in computer science, 3-540-65480-1 • Learning Robots, Texte imprimé, 9783662176344 |
Mục lục:
- The construction and acquisition of visual categories
- Q-Learning with Adaptive State Space Construction
- Modular Reinforcement Learning: An Application to a Real Robot Task
- Analysis and Design of Robot s Behavior: Towards a Methodology
- Vision Based State Space Construction for Learning Mobile Robots in Multi Agent Environments
- Transmitting Communication Skills Through Imitation in Autonomous Robots
- Continual Robot Learning with Constructive Neural Networks
- Robot Learning and Self-Sufficiency: What the energy-level can tell us about a robot s performance
- Perceptual grounding in robots
- A Learning Mobile Robot: Theory, Simulation and Practice
- Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition
- Robot Learning using Gate-Level Evolvable Hardware.