Q-Learning Agent playing Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3.
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/q-Taxi-v3", filename="full_model.pt")
# Create the environment.
env = gym.make("Taxi-v3")
state, _ = env.reset()
action = model.action(state)
...
There is also a numpy version of the Q-table.
- Downloads last month
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Evaluation results
- mean_reward on Taxi-v3self-reported7.64 +/- 2.36