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Update README.md
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@@ -4,13 +4,13 @@ Reimplementation of [Soft Actor-Critic Algorithms and Applications](https://arxi
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Learning with a Stochastic Actor](https://arxiv.org/pdf/1801.01290.pdf).
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Added another branch for [Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
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Learning with a Stochastic Actor](https://arxiv.org/pdf/1801.01290.pdf) -> [SAC_V](https://github.com/pranz24/pytorch-soft-actor-critic/tree/SAC_V)
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Learning with a Stochastic Actor](https://arxiv.org/pdf/1801.01290.pdf) -> [SAC_V](https://github.com/pranz24/pytorch-soft-actor-critic/tree/SAC_V).
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### Requirements
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------------
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- [mujoco-py](https://github.com/openai/mujoco-py)
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- [TensorboardX](https://github.com/lanpa/tensorboardX)
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- [PyTorch](http://pytorch.org/)
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* [mujoco-py](https://github.com/openai/mujoco-py)
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* [TensorboardX](https://github.com/lanpa/tensorboardX)
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* [PyTorch](http://pytorch.org/)
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### Default Arguments and Usage
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------------
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