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Pembelajaran Penguatan Multimod (Multimodal Reinforcement Learning)

Pembelajaran Penguatan Multimod melatih agen untuk membuat keputusan berurutan dengan mempersepsi dan mengintegrasikan pelbagai jenis input — seperti piksel mentah, arahan bahasa, audio, dan sensor proprioseptif — secara serentak. Daripada bertindak berdasarkan satu aliran data, agen menggabungkan isyarat heterogen menjadi perwakilan keadaan bersatu dan mempelajari dasar tindakan melalui maklum balas ganjaran persekitaran.

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Pembelajaran Penguatan Multimod (Multimodal Reinforcement Learning)
Rangkaian Saraf Graf Mul…Transformer MultimodusMultimodal Vision Transf…Pembelajaran PengukuhanSelf-supervised Reinforc…Pembelajaran Pemindahan…

Sumber

  1. Reed, S., Zolna, K., Parisotto, E., Colmenarejo, S. G., Novikov, A., Barth-Maron, G., ... & de Freitas, N. (2022). A Generalist Agent. Transactions on Machine Learning Research. link ↗
  2. Multimodal learning. Wikipedia. link ↗

Cara memetik halaman ini

ScholarGate. (2026, June 3). Multimodal Reinforcement Learning (Multi-Sensory RL Agent Learning). ScholarGate. https://scholargate.app/ms/deep-learning/multimodal-reinforcement-learning

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ScholarGate — Multimodal Reinforcement Learning (Multimodal Reinforcement Learning (Multi-Sensory RL Agent Learning)). Dicapai 2026-06-15 daripada https://scholargate.app/ms/deep-learning/multimodal-reinforcement-learning · Set data: https://doi.org/10.5281/zenodo.20539026