<jupyter_start><jupyter_text>Test Planning<jupyter_code>from crar.environments import SimpleMaze
from crar.agent import CRARAgent
env = SimpleMaze(higher_dim_obs=True)
state = env.reset()
agent = CRARAgent(env, None, "cpu", abstract_state_dim=2)
q_values = agent.get_value(agent.encode([state]), depth=5)
q_values<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.11661807580174927, 'fraction_numerical': 0.0058309037900874635, 'mean_word_length': 10.096774193548388, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '606275', 'license': 'MIT', 'n_tokens_mistral': 129, 'n_tokens_neox': 126, 'n_words': 22, 'path': 'experiments/Test Planning.ipynb', 'repo_name': 'aayn/yarl', 'size': '343'}