Description

Reimplementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

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