#!/usr/bin/env python
"""
FrozenLake Gymnasium Demo
Zeigt grundlegende Environment-Interaktion und einen zufälligen Agenten
"""
import gymnasium as gym

# Demo: Zufälliger Agent
print("\n=== Demo: Zufälliger Agent ===")
env = gym.make('FrozenLake-v1', is_slippery=False, render_mode='human')

for episode in range(20):
    observation, _ = env.reset()
    done = False
    total_reward = 0.0
    
    while not done:
        action = env.action_space.sample()  # Zufällig!
        obs, reward, terminated, truncated, _ = env.step(action)
        total_reward += float(reward)
        done = terminated or truncated
    
    print(f"Episode {episode}: Reward = {total_reward}")

env.close()
print("\nBeobachtung: Agent scheitert meistens! Keine intelligente Strategie.")