<jupyter_start><jupyter_text><jupyter_code>%pip install -q -U gtbook
# no imports yet<jupyter_output><empty_output><jupyter_text>Deep Reinforcement Learning> Deep Q-learning and policy gradient.**This Section is still in draft mode and was released for adventurous spirits (and TAs) only.**<jupyter_code>from gtbook.display import randomImages
from IPython.display import display
display(randomImages(6, 6, "steampunk", 1))<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.09492273730684327, 'fraction_numerical': 0.006622516556291391, 'mean_word_length': 8.26530612244898, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 10, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '263962', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 150, 'n_tokens_neox': 145, 'n_words': 41, 'path': 'S66_driving_DRL.ipynb', 'repo_name': 'gtbook/robotics', 'size': '453'}