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()
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