Multi-Task Reinforcement Learning Based on Parallel Recombination Networks
Multi-task Reinforcement learning is a key current trend in the field of reinforcement learning. It can accomplish multiple tasks using a single network, which is superior to single-task learning in integrating information from different tasks. However, uncertainty remains on the issue of how to eff...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10643964/ |
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