Efficient experience replay architecture for offline reinforcement learning
Purpose: Offline reinforcement learning (RL) acquires effective policies by using prior collected large-scale data, while, in some scenarios, collecting data may be hard because it is time-consuming, expensive and dangerous, i.e. health care, autonomous driving, seeking a more efficient offline RL m...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Emerald Publishing
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |