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Pranjal Tandon
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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