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+### Description
+Reimplementation of [Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
+Learning with a Stochastic Actor](https://arxiv.org/pdf/1801.01290.pdf).
+
+Contributions are welcome. If you find any mistake (very highly possible) or know how to make it more stable, don't hesitate to send a pull request.
+
+### Run
+Use the default hyperparameters.
+
+#### For SAC (Gaussian Policy):
+
+```
+python main.py --algo SAC --env-name HalfCheetah-v2
+```
+#### For SAC (Gaussian Mixture Policy)
+
+```
+python main.py --algo SAC(GMM) --env-name HalfCheetah-v2 --k 4