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pro vyhledávání: '"Munn, Humphrey"'
Most robotic behaviours focus on either manipulation or locomotion, where tasks that require the integration of both, such as full-body throwing, remain under-explored. Throwing with a robot involves complex coordination between object manipulation a
Externí odkaz:
http://arxiv.org/abs/2410.05681
Autor:
Munn, Humphrey, Gallagher, Marcus
Modularity has been widely studied as a mechanism to improve the capabilities of neural networks through various techniques such as hand-crafted modular architectures and automatic approaches. While these methods have sometimes shown improvements tow
Externí odkaz:
http://arxiv.org/abs/2205.06451
Curriculum learning allows complex tasks to be mastered via incremental progression over `stepping stone' goals towards a final desired behaviour. Typical implementations learn locomotion policies for challenging environments through gradual complexi
Externí odkaz:
http://arxiv.org/abs/2203.15172
Autor:
Munn, Humphrey, Gallagher, Marcus
Modularity is essential to many well-performing structured systems, as it is a useful means of managing complexity [8]. An analysis of modularity in neural networks produced by machine learning algorithms can offer valuable insight into the workings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9284bcbe1437224eccb4c88197573bd
http://arxiv.org/abs/2205.06451
http://arxiv.org/abs/2205.06451