March 2018
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58 Reads
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9 Citations
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Publications (1)
Citations (1)
... (Meng et al., 2020) and employed deep Q networks (DQN) to optimize train control strategies. Subsequently, the issue of continuous action space in Deep Reinforcement Learning (DRL) has been extensively examined by scholars (Zhou and Song, 2018;Zhou et al., 2022). Notably, (Lillicrap, 2015) and (Plaksin, 2022) have proposed subway intelligent operation algorithms based on the Deep Deterministic Policy Gradient (DDPG) and Normalized Advantage Function (NAF) respectively. ...
- Citing Conference Paper
March 2018