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pro vyhledávání: '"Alhousani, Naseem"'
Autor:
Alhousani, Naseem, Saveriano, Matteo, Sevinc, Ibrahim, Abdulkuddus, Talha, Kose, Hatice, Abu-Dakka, Fares J.
Reinforcement learning (RL) is a popular technique that allows an agent to learn by trial and error while interacting with a dynamic environment. The traditional Reinforcement Learning (RL) approach has been successful in learning and predicting Eucl
Externí odkaz:
http://arxiv.org/abs/2210.08126
Akademický článek
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Autor:
Alhousani, Naseem, Saveriano, Matteo, Sevinc, Ibrahim, Abdulkuddus, Talha, Kose, Hatice, Abu-Dakka, Fares J.
Reinforcement learning (RL) enables an agent to learn by trial and error while interacting with a dynamic environment. Traditionally, RL is used to learn and predict Euclidean robotic manipulation skills like positions, velocities, and forces. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a75e5a6dfaf24cebe24a0ef6bd3266e
http://arxiv.org/abs/2210.08126
http://arxiv.org/abs/2210.08126