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pro vyhledávání: '"Christopher M. Vigorito"'
Publikováno v:
IEEE Transactions on Autonomous Mental Development. 2:132-143
We present a framework for intrinsically motivated developmental learning of abstract skill hierarchies by reinforcement learning agents in structured environments. Long-term learning of skill hierarchies can drastically improve an agent's efficiency
Publikováno v:
Computational and Robotic Models of the Hierarchical Organization of Behavior ISBN: 9783642398742
Computational and Robotic Models of the Hierarchical Organization of Behavior
Computational and Robotic Models of the Hierarchical Organization of Behavior
Behavioral modules are units of behavior providing reusable building blocks that can be composed sequentially and hierarchically to generate extensive ranges of behavior. Hierarchies of behavioral modules facilitate learning complex skills and planni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f6935af3e83828575f20835f47c56fc
https://doi.org/10.1007/978-3-642-39875-9_2
https://doi.org/10.1007/978-3-642-39875-9_2
Publikováno v:
SECON
Increasingly many wireless sensor network deployments are using harvested environmental energy to extend system lifetime. Because the temporal profiles of such energy sources exhibit great variability due to dynamic weather patterns, an important pro
Autor:
Christopher M. Vigorito
Publikováno v:
AAMAS
Path planning for mobile robots in stochastic, dynamic environments is a difficult problem and the subject of much research in the field of robotics. While many approaches to solving this problem put the computational burden of path planning on the r