Is it better to not use the Target Update Frequency in Double DQN or depends on the application?

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Pytorch policy-gradient Dqn double-dqn A2c

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  • tianshou

    An elegant PyTorch deep reinforcement learning library.

    • The tianshou implementation I found at https://github.com/thu-ml/tianshou/blob/master/tianshou/policy/modelfree/dqn.py is DQN by default.

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