Research Article
The Implementation of Deep Reinforcement Learning in E-Learning and Distance Learning: Remote Practical Work
Algorithm 1
The algorithm of deep Q-learning.
Start with for all | | Initialize the state S | | For t = 1, N do (for each episode N) | | Simple action A, get next state | | If is terminal: | | | | Sample new initial state | | Else: | | | | | | | | End if | | End for |
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