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[NeurIPS 2020 Spotlight] State-adversarial DDPG for robust deep reinforcement learning

License: MIT License

Python 100.00%
adversarial-attacks adversarial-machine-learning adversarial-reinforcement-learning reinforcement-learning reinforcement-learning-algorithms robustness sa-mdp

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sa_ddpg's Issues

problem of critic loss

I want to know what is the principle of adding the difference between upper and lower bounds in the loss calculation of critic,thanks!

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