Improving sample efficiency using attention in deep reinforcement learning
Reinforcement learning is becoming increasingly popular due to its cumulative feats in mainstream games such as DOTA2 and Go as well as its applicability to many fields. It has displayed potential in exceeding human levels of performance in complicated environments and sequential decision-making pro...
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| 格式: | Final Year Project (FYP) |
| 语言: | English |
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Nanyang Technological University
2021
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| 在线阅读: | https://hdl.handle.net/10356/150563 |