Created
October 16, 2022 06:50
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Call evaluation function and plot the results
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# Evaluate | |
n_eval_episodes=10000 | |
mean_reward, std_reward, episode_rewards = evaluate_agent(n_max_steps, n_eval_episodes, Qtable) | |
# Print evaluation results | |
print(f"Mean Reward = {mean_reward:.2f} +/- {std_reward:.2f}") | |
print(f"Min = {min(episode_rewards):.1f} and Max {max(episode_rewards):.1f}") | |
# Show the distribution of rewards obtained from evaluation | |
plt.figure(figsize=(9,6), dpi=200) | |
plt.title(label='Rewards distribution from evaluation', loc='center') | |
plt.hist(episode_rewards, bins=25, color='#00000f') | |
plt.show() |
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