NAEM: Noisy Attention Exploration Module for Deep Reinforcement Learning
Recently, deep reinforcement learning (RL) has been a hot topic due to its high capability in solving complex decision-making tasks. Although deep RL has achieved remarkable results in many fields, efficient exploration remains one of its most challenging issues. Conventional exploration heuristic m...
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| Main Authors: | , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
IEEE
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/2f304b4eae664799bacde718e8aa78b3 |
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