Q-Learning Agent playing Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3. It was trained as part of the Deep Reinforcement Learning Course.
Usage
import pickle
import gymnasium as gym
from huggingface_hub import hf_hub_download
# Download the model
repo_id = "mo7hamed1x/q-Taxi-v3"
filename = "q-learning.pkl"
checkpoint = hf_hub_download(repo_id=repo_id, filename=filename)
# Load the Q-Table
with open(checkpoint, 'rb') as f:
q_table = pickle.load(f)
# Create environment
env = gym.make("Taxi-v3")
state, info = env.reset()
Evaluation results
- mean_reward on Taxi-v3self-reported7.50 +/- 2.76