Comments (2)
I will give you an example of DQN's things to be considered...
1. for resuming training:
- Replay memory: self.memory
- Hyperparameters: self.batch_size, self.epsilon, self.epsilon_decay, self.max_epsilon, self.min_epsilon, self.target_update, self.gamma
- Networks: self.dqn, self.dqn_target
- Optimizer: self.optimizer
2. for saving and loading a trained model (used in test mode only):
- Hyperparameters: self.epsilon
- Networks: self.dqn
I hope you try it with the guidance above.
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Please let me know here or through another issue if you meet any other obstacles.
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Related Issues (20)
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