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Titlebook: European Robotics Symposium 2006; Henrik I. Christensen Conference proceedings 2006 Springer-Verlag Berlin Heidelberg 2006 Multi-agent sys

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發(fā)表于 2025-3-26 20:58:06 | 只看該作者
32#
發(fā)表于 2025-3-27 02:49:46 | 只看該作者
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發(fā)表于 2025-3-27 08:31:22 | 只看該作者
https://doi.org/10.1007/978-1-4899-1480-4he relevance of certain features relies both on general background knowledge as well as task-specific knowledge gathered from the user demonstrations. The results of the incremental growth of the task knowledge when more task demonstrations become available is demonstrated within the task of laying a table.
34#
發(fā)表于 2025-3-27 12:26:38 | 只看該作者
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發(fā)表于 2025-3-27 17:34:25 | 只看該作者
Incremental Learning of Task Sequences with Information-Theoretic Metrics,he relevance of certain features relies both on general background knowledge as well as task-specific knowledge gathered from the user demonstrations. The results of the incremental growth of the task knowledge when more task demonstrations become available is demonstrated within the task of laying a table.
36#
發(fā)表于 2025-3-27 20:34:31 | 只看該作者
37#
發(fā)表于 2025-3-28 00:30:39 | 只看該作者
1610-7438 ross-section of forefront robotics research, ranging from robotics and systems to learning, autonomy and failure detection, from vision and navigation to localization and mapping, which are based on the papers presented at the 1st European Robotics Symposium (EUROS-06) held in Palermo, Italy from 16
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發(fā)表于 2025-3-28 04:46:48 | 只看該作者
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發(fā)表于 2025-3-28 08:44:23 | 只看該作者
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發(fā)表于 2025-3-28 12:15:53 | 只看該作者
Lecture Notes in Computer Science strong evidences from simulation results in nondeterministic environments. Simulation results show encouraging enhancements in the required number of learning trials, agent’s performance, size of the learned trees, and computation time of the algorithm.. State Abstraction, Hierarchical Reinforcement Learning
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