Unsupervised training sequence design: Efficient and generalizable agent training
To train generalizable Reinforcement Learning (RL) agents, researchers recently proposed the Unsupervised Environment Design (UED) framework, in which a teacher agent creates a very large number of training environments and a student agent trains on the experiences in these environments to be robust...
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/9362 https://ink.library.smu.edu.sg/context/sis_research/article/10362/viewcontent/29268_Article_Text_33322_1_2_20240324_pvoa.pdf |
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| Institution: | Singapore Management University |
| Language: | English |