winkin119/A3C-CartPoleV1

A3C with GAE Agent playing CartPole-v1

This is a trained model of a A3C with GAE agent playing CartPole-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/A3C-CartPoleV1", filename="full_model.pt")

# Create the environment. 
env = gym.make("CartPole-v1")
state, _ = env.reset()
action = model.action(state)
...

There is also a state dict version of the model, you can check the corresponding definition in the repo.