Quantile Regression Deep Q-Networks for Multi-Agent System Control
Training autonomous agents that are capable of performing their assigned job without fail is the ultimate goal of deep reinforcement learning. This thesis introduces a dueling Quantile Regression Deep Q-network, where the network learns the state value quantile function and advantage quantile functi...
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| Format: | Others |
| Language: | English |
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University of North Texas
2019
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| Online Access: | https://digital.library.unt.edu/ark:/67531/metadc1505241/ |