Enhanced DQN Framework for Selecting Actions and Updating Replay Memory Considering Massive Non-Executable Actions
A Deep-Q-Network (DQN) controls a virtual agent as the level of a player using only screenshots as inputs. Replay memory selects a limited number of experience replays according to an arbitrary batch size and updates them using the associated Q-function. Hence, relatively fewer experience replays of...
| Hlavní autoři: | , |
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| Médium: | Článek |
| Jazyk: | English |
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MDPI AG
2021-11-01
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| Edice: | Applied Sciences |
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| On-line přístup: | https://www.mdpi.com/2076-3417/11/23/11162 |