Deep-Reinforcement-Learning-Algorithms-with-PyTorch
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Question on SAC implementation
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In SAC.py Line 120
https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch/blob/b338c87bebb672e39304e47e0eed55aeb462b243/agents/actor_critic_agents/SAC.py#L120
However, the output of produce_action_and_action_info(state) is
https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch/blob/b338c87bebb672e39304e47e0eed55aeb462b243/agents/actor_critic_agents/SAC.py#L135
So, even though SAC algorithm can work in practice, is it a mistake?