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pro vyhledávání: '"Dupuis, Tom"'
Publikováno v:
Proceedings of The 2nd Conference on Lifelong Learning Agents, PMLR 232 (2023) 658-682
End-to-end reinforcement learning on images showed significant progress in the recent years. Data-based approach leverage data augmentation and domain randomization while representation learning methods use auxiliary losses to learn task-relevant fea
Externí odkaz:
http://arxiv.org/abs/2306.08537
Publikováno v:
NeurIPS 2022-Deep Reinforcement Learning Workshop
NeurIPS 2022-Deep Reinforcement Learning Workshop, Dec 2022, Virtual, United States
NeurIPS 2022 Deep RL Workshop
NeurIPS 2022 Deep RL Workshop, Dec 2022, New Orlean, United States
NeurIPS 2022-Deep Reinforcement Learning Workshop, Dec 2022, Virtual, United States
NeurIPS 2022 Deep RL Workshop
NeurIPS 2022 Deep RL Workshop, Dec 2022, New Orlean, United States
International audience; End-to-end reinforcement learning on images showed significant performance progress in the recent years, especially with regularization to value estimation brought by data augmentation (Yarats et al., 2020). At the same time,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3138286d3a6e35833d867b9ebd1ed2d2
https://hal-ip-paris.archives-ouvertes.fr/hal-04135292/document
https://hal-ip-paris.archives-ouvertes.fr/hal-04135292/document