PPO Agent playing MountainCarContinuous-v0
This is a trained model of a PPO agent playing MountainCarContinuous-v0.
Usage
create the conda env in https://github.com/GeneHit/drl_practice
conda create -n drl python=3.12
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/PPO-DDP-MountainCarContinuousV0", filename="full_model.pt")
# Create the environment.
env = gym.make("MountainCarContinuous-v0")
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.
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Evaluation results
- mean_reward on MountainCarContinuous-v0self-reported94.27 +/- 0.19