SAC Agent playing Pendulum-v1
This is a trained model of a SAC agent playing Pendulum-v1.
Usage
create the conda env in https://github.com/GeneHit/drl_practice
conda create -n drl python=3.10
conda activate drl
python -m pip install -r requirements.txt
play with full model
# load the full model
model = load_from_hub(repo_id="winkin119/SAC-PendulumV1", filename="full_model.pt")
# Create the environment.
env = gym.make("Pendulum-v1")
state, _ = env.reset()
action = model.action(state)
...
There is also a state dict version of the model.
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Evaluation results
- mean_reward on Pendulum-v1self-reported-129.63 +/- 63.60