<jupyter_start><jupyter_text>Plot  Gym-MuJoCo<jupyter_code>draw_kmeans_fluctuation_scatter_plot(
    data_name='halfcheetah-expert-v2',
    n_clusters=100,
    action_obs_reward='actions')
draw_kmeans_fluctuation_scatter_plot(
    data_name='halfcheetah-expert-v2',
    n_clusters=100,
    action_obs_reward='observations')
draw_kmeans_fluctuation_scatter_plot(
    data_name='hopper-expert-v2',
    n_clusters=100,
    action_obs_reward='actions')
draw_kmeans_fluctuation_scatter_plot(
    data_name='hopper-expert-v2',
    n_clusters=100,
    action_obs_reward='observations')
draw_kmeans_fluctuation_scatter_plot(
    data_name='walker2d-expert-v2',
    n_clusters=100,
    action_obs_reward='actions')
draw_kmeans_fluctuation_scatter_plot(
    data_name='walker2d-expert-v2',
    n_clusters=100,
    action_obs_reward='observations')<jupyter_output>/Users/shiro/miniforge3/envs/wikirl-gym/lib/python3.8/site-packages/gym/spaces/box.py:84: UserWarning: [33mWARN: Box bound precision lowered by casting to float32[0m
  logger.warn(f"Box bound precision lowered by casting to {self.dtype}")
load datafile: 100%|██████████████████████████████████████████████████████████████████| 21/21 [00:01<00:00, 14.25it/s]<jupyter_text>Maze2D<jupyter_code>draw_kmeans_fluctuation_scatter_plot(
    data_name='maze2d-large',
    n_clusters=100,
    action_obs_reward='actions')
draw_kmeans_fluctuation_scatter_plot(
    data_name='maze2d-large',
    n_clusters=100,
    action_obs_reward='observations')<jupyter_output>/Users/shiro/miniforge3/envs/wikirl-gym/lib/python3.8/site-packages/gym/envs/registration.py:511: UserWarning: [33mWARN: Using the latest versioned environment `maze2d-large-v1` instead of the unversioned environment `maze2d-large`[0m
  logger.warn(
load datafile: 100%|████████████████████████████████████████████████████████████████████| 8/8 [00:00<00:00,  8.04it/s]<jupyter_text>AntMaze<jupyter_code>draw_kmeans_fluctuation_scatter_plot(
    data_name='antmaze-large-play',
    n_clusters=100,
    action_obs_reward='actions')
draw_kmeans_fluctuation_scatter_plot(
    data_name='antmaze-large-play',
    n_clusters=100,
    action_obs_reward='observations')<jupyter_output>/Users/shiro/miniforge3/envs/wikirl-gym/lib/python3.8/site-packages/gym/envs/registration.py:511: UserWarning: [33mWARN: Using the latest versioned environment `antmaze-large-play-v2` instead of the unversioned environment `antmaze-large-play`[0m
  logger.warn(
/Users/shiro/miniforge3/envs/wikirl-gym/lib/python3.8/site-packages/gym/spaces/box.py:84: UserWarning: [33mWARN: Box bound precision lowered by casting to float32[0m
  logger.warn(f"Box bound precision lowered by casting to {self.dtype}")<jupyter_text>Adroit<jupyter_code>draw_kmeans_fluctuation_scatter_plot(
    data_name='relocate-expert',
    n_clusters=100,
    action_obs_reward='actions')
draw_kmeans_fluctuation_scatter_plot(
    data_name='relocate-expert',
    n_clusters=100,
    action_obs_reward='observations')<jupyter_output>/Users/shiro/miniforge3/envs/wikirl-gym/lib/python3.8/site-packages/gym/envs/registration.py:511: UserWarning: [33mWARN: Using the latest versioned environment `relocate-expert-v1` instead of the unversioned environment `relocate-expert`[0m
  logger.warn(
/Users/shiro/miniforge3/envs/wikirl-gym/lib/python3.8/site-packages/gym/spaces/box.py:84: UserWarning: [33mWARN: Box bound precision lowered by casting to float32[0m
  logger.warn(f"Box bound precision lowered by casting to {self.dtype}")
load datafile: 100%|██████████████████████████████████████████████████████████████████| 24/24 [00:05<00:00,  4.73it/s]<jupyter_text>FrankaKitchen<jupyter_code>draw_kmeans_fluctuation_scatter_plot(
    data_name='kitchen-mixed-v0',
    n_clusters=100,
    action_obs_reward='actions')
draw_kmeans_fluctuation_scatter_plot(
    data_name='kitchen-mixed-v0',
    n_clusters=100,
    action_obs_reward='observations')<jupyter_output>Reading configurations for Franka
[40m[37mInitializing Franka sim[0m
{'fraction_non_alphanumeric': 0.1620741482965932, 'fraction_numerical': 0.043837675350701405, 'mean_word_length': 6.906930693069307, 'pattern_counts': {'":': 0, '<': 19, '<?xml version=': 0, '>': 16, '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': '5', 'dir': 'jupyter-structured-clean-dedup', 'id': '429486', 'license': 'MIT', 'n_tokens_mistral': 1797, 'n_tokens_neox': 1578, 'n_words': 178, 'path': 'code/notebooks/kmeans_fluctuation_analysis.ipynb', 'repo_name': 't46/can-wikipedia-help-offline-rl', 'size': '3992'}