Multi-Agent Deep Q Network to Enhance the Reinforcement Learning for Delayed Reward System
This study examines various factors and conditions that are related with the performance of reinforcement learning, and defines a multi-agent DQN system (N-DQN) model to improve them. NDQN model is implemented in this paper with examples of maze finding and ping-pong as examples of delayed reward sy...
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| Format: | Article |
| Language: | English |
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MDPI
2022
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| Online Access: | View Fulltext in Publisher |