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  • Cumulative Pseudo-Regret
  • Cumulative Pseudo-Regret
  • -
    [INFO] 09:54: ... trained!
    -[INFO] 09:54: Saved ExperimentManager(Bounded UCB Agent) using pickle.
    -[INFO] 09:54: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Bounded UCB Agent_2024-10-16_09-53-55_0f1aaf39/manager_obj.pickle'
    -[INFO] 09:54: Running ExperimentManager fit() for Bernoulli TS Agent with n_fit = 10 and max_workers = None.
    -[INFO] 09:54: ... trained!
    -[INFO] 09:54: Saved ExperimentManager(Bernoulli TS Agent) using pickle.
    -[INFO] 09:54: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Bernoulli TS Agent_2024-10-16_09-53-55_0d2381c2/manager_obj.pickle'
    -[INFO] 09:54: Running ExperimentManager fit() for Gaussian UCB Agent with n_fit = 10 and max_workers = None.
    -[INFO] 09:54: ... trained!
    -[INFO] 09:54: Saved ExperimentManager(Gaussian UCB Agent) using pickle.
    -[INFO] 09:54: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Gaussian UCB Agent_2024-10-16_09-54-06_6e003aae/manager_obj.pickle'
    -[INFO] 09:54: Running ExperimentManager fit() for Gaussian TS Agent with n_fit = 10 and max_workers = None.
    -[INFO] 09:54: ... trained!
    -[INFO] 09:54: Saved ExperimentManager(Gaussian TS Agent) using pickle.
    -[INFO] 09:54: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Gaussian TS Agent_2024-10-16_09-54-06_76b5e436/manager_obj.pickle'
    +
    [INFO] 10:02: ... trained!
    +[INFO] 10:02: Saved ExperimentManager(Bounded UCB Agent) using pickle.
    +[INFO] 10:02: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Bounded UCB Agent_2024-10-16_10-02-15_bd80da50/manager_obj.pickle'
    +[INFO] 10:02: Running ExperimentManager fit() for Bernoulli TS Agent with n_fit = 10 and max_workers = None.
    +[INFO] 10:02: ... trained!
    +[INFO] 10:02: Saved ExperimentManager(Bernoulli TS Agent) using pickle.
    +[INFO] 10:02: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Bernoulli TS Agent_2024-10-16_10-02-15_847030c5/manager_obj.pickle'
    +[INFO] 10:02: Running ExperimentManager fit() for Gaussian UCB Agent with n_fit = 10 and max_workers = None.
    +[INFO] 10:02: ... trained!
    +[INFO] 10:02: Saved ExperimentManager(Gaussian UCB Agent) using pickle.
    +[INFO] 10:02: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Gaussian UCB Agent_2024-10-16_10-02-26_8ade7c97/manager_obj.pickle'
    +[INFO] 10:02: Running ExperimentManager fit() for Gaussian TS Agent with n_fit = 10 and max_workers = None.
    +[INFO] 10:02: ... trained!
    +[INFO] 10:02: Saved ExperimentManager(Gaussian TS Agent) using pickle.
    +[INFO] 10:02: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Gaussian TS Agent_2024-10-16_10-02-26_ae7d0a45/manager_obj.pickle'
     
    @@ -295,7 +295,7 @@ )
    -

    Total running time of the script: (0 minutes 20.509 seconds)

    +

    Total running time of the script: (0 minutes 20.469 seconds)

    -

    Total running time of the script: (0 minutes 41.312 seconds)

    +

    Total running time of the script: (0 minutes 41.147 seconds)

    -

    Total running time of the script: (0 minutes 7.550 seconds)

    +

    Total running time of the script: (0 minutes 7.648 seconds)

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zW#gXXQ`~5n3XthnHu#BMu(;?1a^7;IOK1|~+ycvV{ zBN_Uf@6dD<-`Ik8Pj*HIIEQ*(9q(4pxdwAx)p>xFT_}BT;idm6${#zsR9$+TK~`uF QplT+(6DNb)f|5V`7d4nG8~^|S diff --git a/preview_pr/_sources/auto_examples/demo_bandits/plot_TS_bandit.rst.txt b/preview_pr/_sources/auto_examples/demo_bandits/plot_TS_bandit.rst.txt index cca4361ff..5a9fe0de3 100644 --- a/preview_pr/_sources/auto_examples/demo_bandits/plot_TS_bandit.rst.txt +++ b/preview_pr/_sources/auto_examples/demo_bandits/plot_TS_bandit.rst.txt @@ -54,21 +54,21 @@ For the Gaussian case, we use a Gaussian prior and compare it to a sub-Gaussian .. code-block:: none - [INFO] 09:54: ... trained! - [INFO] 09:54: Saved ExperimentManager(Bounded UCB Agent) using pickle. - [INFO] 09:54: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Bounded UCB Agent_2024-10-16_09-53-55_0f1aaf39/manager_obj.pickle' - [INFO] 09:54: Running ExperimentManager fit() for Bernoulli TS Agent with n_fit = 10 and max_workers = None. - [INFO] 09:54: ... trained! - [INFO] 09:54: Saved ExperimentManager(Bernoulli TS Agent) using pickle. - [INFO] 09:54: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Bernoulli TS Agent_2024-10-16_09-53-55_0d2381c2/manager_obj.pickle' - [INFO] 09:54: Running ExperimentManager fit() for Gaussian UCB Agent with n_fit = 10 and max_workers = None. - [INFO] 09:54: ... trained! - [INFO] 09:54: Saved ExperimentManager(Gaussian UCB Agent) using pickle. - [INFO] 09:54: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Gaussian UCB Agent_2024-10-16_09-54-06_6e003aae/manager_obj.pickle' - [INFO] 09:54: Running ExperimentManager fit() for Gaussian TS Agent with n_fit = 10 and max_workers = None. - [INFO] 09:54: ... trained! - [INFO] 09:54: Saved ExperimentManager(Gaussian TS Agent) using pickle. - [INFO] 09:54: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Gaussian TS Agent_2024-10-16_09-54-06_76b5e436/manager_obj.pickle' + [INFO] 10:02: ... trained! + [INFO] 10:02: Saved ExperimentManager(Bounded UCB Agent) using pickle. + [INFO] 10:02: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Bounded UCB Agent_2024-10-16_10-02-15_bd80da50/manager_obj.pickle' + [INFO] 10:02: Running ExperimentManager fit() for Bernoulli TS Agent with n_fit = 10 and max_workers = None. + [INFO] 10:02: ... trained! + [INFO] 10:02: Saved ExperimentManager(Bernoulli TS Agent) using pickle. + [INFO] 10:02: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Bernoulli TS Agent_2024-10-16_10-02-15_847030c5/manager_obj.pickle' + [INFO] 10:02: Running ExperimentManager fit() for Gaussian UCB Agent with n_fit = 10 and max_workers = None. + [INFO] 10:02: ... trained! + [INFO] 10:02: Saved ExperimentManager(Gaussian UCB Agent) using pickle. + [INFO] 10:02: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Gaussian UCB Agent_2024-10-16_10-02-26_8ade7c97/manager_obj.pickle' + [INFO] 10:02: Running ExperimentManager fit() for Gaussian TS Agent with n_fit = 10 and max_workers = None. + [INFO] 10:02: ... trained! + [INFO] 10:02: Saved ExperimentManager(Gaussian TS Agent) using pickle. + [INFO] 10:02: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/Gaussian TS Agent_2024-10-16_10-02-26_ae7d0a45/manager_obj.pickle' @@ -224,7 +224,7 @@ For the Gaussian case, we use a Gaussian prior and compare it to a sub-Gaussian .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 20.509 seconds) + **Total running time of the script:** (0 minutes 20.469 seconds) .. _sphx_glr_download_auto_examples_demo_bandits_plot_TS_bandit.py: diff --git a/preview_pr/_sources/auto_examples/demo_bandits/plot_compare_index_bandits.rst.txt b/preview_pr/_sources/auto_examples/demo_bandits/plot_compare_index_bandits.rst.txt index 9538938d6..b26f44423 100644 --- a/preview_pr/_sources/auto_examples/demo_bandits/plot_compare_index_bandits.rst.txt +++ b/preview_pr/_sources/auto_examples/demo_bandits/plot_compare_index_bandits.rst.txt @@ -276,7 +276,7 @@ how to use subplots in with `plot_writer_data` .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 41.312 seconds) + **Total running time of the script:** (0 minutes 41.147 seconds) .. _sphx_glr_download_auto_examples_demo_bandits_plot_compare_index_bandits.py: diff --git a/preview_pr/_sources/auto_examples/demo_bandits/plot_exp3_bandit.rst.txt b/preview_pr/_sources/auto_examples/demo_bandits/plot_exp3_bandit.rst.txt index cc60e0d80..7b8250720 100644 --- a/preview_pr/_sources/auto_examples/demo_bandits/plot_exp3_bandit.rst.txt +++ b/preview_pr/_sources/auto_examples/demo_bandits/plot_exp3_bandit.rst.txt @@ -155,7 +155,7 @@ randomized algorithm. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 7.550 seconds) + **Total running time of the script:** (0 minutes 7.648 seconds) .. _sphx_glr_download_auto_examples_demo_bandits_plot_exp3_bandit.py: diff --git a/preview_pr/_sources/auto_examples/demo_bandits/plot_mirror_bandit.rst.txt b/preview_pr/_sources/auto_examples/demo_bandits/plot_mirror_bandit.rst.txt index 8f45fa772..3477d781e 100644 --- a/preview_pr/_sources/auto_examples/demo_bandits/plot_mirror_bandit.rst.txt +++ b/preview_pr/_sources/auto_examples/demo_bandits/plot_mirror_bandit.rst.txt @@ -45,21 +45,31 @@ and finally definition of the experiment. .. code-block:: none - [INFO] 09:55: agent_name worker reward action max_global_step - SH 0 -5.542 4 6 - [INFO] 09:55: agent_name worker reward action max_global_step - SH 0 -0.262 7 17 - [INFO] 09:55: agent_name worker reward action max_global_step - SH 0 -0.353 4 30 - [INFO] 09:55: agent_name worker reward action max_global_step - SH 0 -0.172 7 48 - [INFO] 09:55: agent_name worker reward action max_global_step - SH 0 -0.167 7 66 - [INFO] 09:55: agent_name worker reward action max_global_step - SH 0 -0.168 7 84 - [INFO] 09:55: ... trained! - [INFO] 09:55: Saved ExperimentManager(SH) using pickle. - [INFO] 09:55: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/SH_2024-10-16_09-54-57_884e3898/manager_obj.pickle' + [INFO] 10:03: agent_name worker reward action max_global_step + SH 0 -0.821 2 4 + [INFO] 10:03: agent_name worker reward action max_global_step + SH 0 -0.465 7 9 + [INFO] 10:03: agent_name worker reward action max_global_step + SH 0 -0.459 7 17 + [INFO] 10:03: agent_name worker reward action max_global_step + SH 0 -0.464 7 25 + [INFO] 10:03: agent_name worker reward action max_global_step + SH 0 -0.314 7 33 + [INFO] 10:03: agent_name worker reward action max_global_step + SH 0 -0.301 3 43 + [INFO] 10:03: agent_name worker reward action max_global_step + SH 0 -0.313 6 53 + [INFO] 10:03: agent_name worker reward action max_global_step + SH 0 -0.306 3 63 + [INFO] 10:03: agent_name worker reward action max_global_step + SH 0 -0.308 6 73 + [INFO] 10:03: agent_name worker reward action max_global_step + SH 0 -0.304 6 83 + [INFO] 10:03: agent_name worker reward action max_global_step + SH 0 -0.307 6 93 + [INFO] 10:03: ... trained! + [INFO] 10:03: Saved ExperimentManager(SH) using pickle. + [INFO] 10:03: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/SH_2024-10-16_10-03-17_feb7766d/manager_obj.pickle' The optimal action (fastest server) is server number 7 @@ -241,7 +251,7 @@ and finally definition of the experiment. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 25.648 seconds) + **Total running time of the script:** (0 minutes 37.576 seconds) .. _sphx_glr_download_auto_examples_demo_bandits_plot_mirror_bandit.py: diff --git a/preview_pr/_sources/auto_examples/demo_bandits/plot_ucb_bandit.rst.txt b/preview_pr/_sources/auto_examples/demo_bandits/plot_ucb_bandit.rst.txt index cb15cae99..e6a64390b 100644 --- a/preview_pr/_sources/auto_examples/demo_bandits/plot_ucb_bandit.rst.txt +++ b/preview_pr/_sources/auto_examples/demo_bandits/plot_ucb_bandit.rst.txt @@ -105,7 +105,7 @@ This script shows how to define a bandit environment and an UCB Index-based algo .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 4.839 seconds) + **Total running time of the script:** (0 minutes 4.924 seconds) .. _sphx_glr_download_auto_examples_demo_bandits_plot_ucb_bandit.py: diff --git a/preview_pr/_sources/auto_examples/demo_bandits/sg_execution_times.rst.txt b/preview_pr/_sources/auto_examples/demo_bandits/sg_execution_times.rst.txt index d24c7d850..d6cbd8e17 100644 --- a/preview_pr/_sources/auto_examples/demo_bandits/sg_execution_times.rst.txt +++ b/preview_pr/_sources/auto_examples/demo_bandits/sg_execution_times.rst.txt @@ -6,16 +6,16 @@ Computation times ================= -**01:39.858** total execution time for **auto_examples_demo_bandits** files: +**01:51.763** total execution time for **auto_examples_demo_bandits** files: +--------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_demo_bandits_plot_compare_index_bandits.py` (``plot_compare_index_bandits.py``) | 00:41.312 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_demo_bandits_plot_compare_index_bandits.py` (``plot_compare_index_bandits.py``) | 00:41.147 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_demo_bandits_plot_mirror_bandit.py` (``plot_mirror_bandit.py``) | 00:25.648 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_demo_bandits_plot_mirror_bandit.py` (``plot_mirror_bandit.py``) | 00:37.576 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_demo_bandits_plot_TS_bandit.py` (``plot_TS_bandit.py``) | 00:20.509 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_demo_bandits_plot_TS_bandit.py` (``plot_TS_bandit.py``) | 00:20.469 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_demo_bandits_plot_exp3_bandit.py` (``plot_exp3_bandit.py``) | 00:07.550 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_demo_bandits_plot_exp3_bandit.py` (``plot_exp3_bandit.py``) | 00:07.648 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_demo_bandits_plot_ucb_bandit.py` (``plot_ucb_bandit.py``) | 00:04.839 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_demo_bandits_plot_ucb_bandit.py` (``plot_ucb_bandit.py``) | 00:04.924 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/preview_pr/_sources/auto_examples/plot_agent_manager.rst.txt b/preview_pr/_sources/auto_examples/plot_agent_manager.rst.txt index 04006ac56..ed3725e70 100644 --- a/preview_pr/_sources/auto_examples/plot_agent_manager.rst.txt +++ b/preview_pr/_sources/auto_examples/plot_agent_manager.rst.txt @@ -49,18 +49,18 @@ Finally, we compare with a baseline provided by a random policy using the Experi .. code-block:: none - [INFO] 09:53: ... trained! - [INFO] 09:53: Saved ExperimentManager(ValueIterationAgent) using pickle. - [INFO] 09:53: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/ValueIterationAgent_2024-10-16_09-53-39_07bb4f0b/manager_obj.pickle' - [INFO] 09:53: Running ExperimentManager fit() for RandomAgent with n_fit = 1 and max_workers = None. - [INFO] 09:53: ... trained! - [INFO] 09:53: Saved ExperimentManager(RandomAgent) using pickle. - [INFO] 09:53: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/RandomAgent_2024-10-16_09-53-39_509ba4c4/manager_obj.pickle' - [INFO] 09:53: Evaluating ValueIterationAgent... - [INFO] 09:53: Computing 10 evaluations. + [INFO] 10:01: ... trained! + [INFO] 10:01: Saved ExperimentManager(ValueIterationAgent) using pickle. + [INFO] 10:01: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/ValueIterationAgent_2024-10-16_10-01-58_8d70b7e4/manager_obj.pickle' + [INFO] 10:01: Running ExperimentManager fit() for RandomAgent with n_fit = 1 and max_workers = None. + [INFO] 10:01: ... trained! + [INFO] 10:01: Saved ExperimentManager(RandomAgent) using pickle. + [INFO] 10:01: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/RandomAgent_2024-10-16_10-01-59_00aad013/manager_obj.pickle' + [INFO] 10:01: Evaluating ValueIterationAgent... + [INFO] 10:01: Computing 10 evaluations. [INFO] Evaluation:.......... Evaluation finished - [INFO] 09:53: Evaluating RandomAgent... - [INFO] 09:53: Computing 10 evaluations. + [INFO] 10:01: Evaluating RandomAgent... + [INFO] 10:01: Computing 10 evaluations. [INFO] Evaluation:.......... Evaluation finished @@ -186,7 +186,7 @@ Finally, we compare with a baseline provided by a random policy using the Experi .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 1.147 seconds) + **Total running time of the script:** (0 minutes 1.233 seconds) .. _sphx_glr_download_auto_examples_plot_agent_manager.py: diff --git a/preview_pr/_sources/auto_examples/plot_checkpointing.rst.txt b/preview_pr/_sources/auto_examples/plot_checkpointing.rst.txt index 0b3b20233..6024042d0 100644 --- a/preview_pr/_sources/auto_examples/plot_checkpointing.rst.txt +++ b/preview_pr/_sources/auto_examples/plot_checkpointing.rst.txt @@ -41,37 +41,37 @@ your agents, and how to restore from a previous checkpoint. .. code-block:: none - [INFO] 09:53: ... trained! - [INFO] 09:53: Saved ExperimentManager(my-agent) using pickle. - [INFO] 09:53: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/manager_obj.pickle' - [INFO] 09:53: Saved ExperimentManager(my-agent) using pickle. - [INFO] 09:53: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/manager_obj.pickle' - - Saved manager at rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/manager_obj.pickle. - - [INFO] 09:53: Running ExperimentManager fit() for my-agent with n_fit = 2 and max_workers = None. - checkpoint at rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/output_0/checkpoint.pickle (timestep = 500) - checkpoint at rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/output_1/checkpoint.pickle (timestep = 500) - checkpoint at rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/output_1/checkpoint.pickle (timestep = 1000) - checkpoint at rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/output_0/checkpoint.pickle (timestep = 1000) - [INFO] 09:53: ... trained! - [INFO] 09:53: Saved ExperimentManager(my-agent) using pickle. - [INFO] 09:53: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/manager_obj.pickle' - - Loading manager from rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/manager_obj.pickle. - - [INFO] 09:53: Running ExperimentManager fit() for my-agent with n_fit = 2 and max_workers = None. + [INFO] 10:02: ... trained! + [INFO] 10:02: Saved ExperimentManager(my-agent) using pickle. + [INFO] 10:02: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/manager_obj.pickle' + [INFO] 10:02: Saved ExperimentManager(my-agent) using pickle. + [INFO] 10:02: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/manager_obj.pickle' + + Saved manager at rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/manager_obj.pickle. + + [INFO] 10:02: Running ExperimentManager fit() for my-agent with n_fit = 2 and max_workers = None. + checkpoint at rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/output_1/checkpoint.pickle (timestep = 500) + checkpoint at rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/output_0/checkpoint.pickle (timestep = 500) + checkpoint at rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/output_1/checkpoint.pickle (timestep = 1000) + checkpoint at rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/output_0/checkpoint.pickle (timestep = 1000) + [INFO] 10:02: ... trained! + [INFO] 10:02: Saved ExperimentManager(my-agent) using pickle. + [INFO] 10:02: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/manager_obj.pickle' + + Loading manager from rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/manager_obj.pickle. + + [INFO] 10:02: Running ExperimentManager fit() for my-agent with n_fit = 2 and max_workers = None. - --> MyAgent loaded from checkpoint: rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/output_0/checkpoint.pickle + --> MyAgent loaded from checkpoint: rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/output_1/checkpoint.pickle - --> MyAgent loaded from checkpoint: rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/output_1/checkpoint.pickle + --> MyAgent loaded from checkpoint: rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/output_0/checkpoint.pickle - checkpoint at rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/output_0/checkpoint.pickle (timestep = 1500) - checkpoint at rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/output_1/checkpoint.pickle (timestep = 1500) - [INFO] 09:53: ... trained! - [INFO] 09:53: Saved ExperimentManager(my-agent) using pickle. - [INFO] 09:53: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/my-agent_2024-10-16_09-53-40_3c6d8456/manager_obj.pickle' + checkpoint at rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/output_1/checkpoint.pickle (timestep = 1500) + checkpoint at rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/output_0/checkpoint.pickle (timestep = 1500) + [INFO] 10:02: ... trained! + [INFO] 10:02: Saved ExperimentManager(my-agent) using pickle. + [INFO] 10:02: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/my-agent_2024-10-16_10-02-00_9aa9c456/manager_obj.pickle' @@ -166,7 +166,7 @@ your agents, and how to restore from a previous checkpoint. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 1.350 seconds) + **Total running time of the script:** (0 minutes 1.589 seconds) .. _sphx_glr_download_auto_examples_plot_checkpointing.py: diff --git a/preview_pr/_sources/auto_examples/plot_kernels.rst.txt b/preview_pr/_sources/auto_examples/plot_kernels.rst.txt index f94d28be1..8e77c2657 100644 --- a/preview_pr/_sources/auto_examples/plot_kernels.rst.txt +++ b/preview_pr/_sources/auto_examples/plot_kernels.rst.txt @@ -69,7 +69,7 @@ This script requires matplotlib .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 10.909 seconds) + **Total running time of the script:** (0 minutes 10.659 seconds) .. _sphx_glr_download_auto_examples_plot_kernels.py: diff --git a/preview_pr/_sources/auto_examples/plot_smooth.rst.txt b/preview_pr/_sources/auto_examples/plot_smooth.rst.txt index 1a80f90c4..208b9d252 100644 --- a/preview_pr/_sources/auto_examples/plot_smooth.rst.txt +++ b/preview_pr/_sources/auto_examples/plot_smooth.rst.txt @@ -194,7 +194,7 @@ This script shows how to define a bandit environment and an UCB Index-based algo .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 22.130 seconds) + **Total running time of the script:** (0 minutes 22.894 seconds) .. _sphx_glr_download_auto_examples_plot_smooth.py: diff --git a/preview_pr/_sources/auto_examples/plot_writer_wrapper.rst.txt b/preview_pr/_sources/auto_examples/plot_writer_wrapper.rst.txt index d7dd0559f..c115792ad 100644 --- a/preview_pr/_sources/auto_examples/plot_writer_wrapper.rst.txt +++ b/preview_pr/_sources/auto_examples/plot_writer_wrapper.rst.txt @@ -63,9 +63,9 @@ during the fit of the agent and then use the plot utils. .. code-block:: none - [INFO] 09:53: ... trained! - [INFO] 09:53: Saved ExperimentManager(UCBVIAgent) using pickle. - [INFO] 09:53: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/UCBVIAgent_2024-10-16_09-53-13_49c03817/manager_obj.pickle' + [INFO] 10:01: ... trained! + [INFO] 10:01: Saved ExperimentManager(UCBVIAgent) using pickle. + [INFO] 10:01: The ExperimentManager was saved in : 'rlberry_data/temp/manager_data/UCBVIAgent_2024-10-16_10-01-31_7758b26c/manager_obj.pickle' @@ -141,7 +141,7 @@ during the fit of the agent and then use the plot utils. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 3.192 seconds) + **Total running time of the script:** (0 minutes 3.353 seconds) .. _sphx_glr_download_auto_examples_plot_writer_wrapper.py: diff --git a/preview_pr/_sources/auto_examples/sg_execution_times.rst.txt b/preview_pr/_sources/auto_examples/sg_execution_times.rst.txt index 6ccb6368d..f5f30e6a9 100644 --- a/preview_pr/_sources/auto_examples/sg_execution_times.rst.txt +++ b/preview_pr/_sources/auto_examples/sg_execution_times.rst.txt @@ -6,18 +6,18 @@ Computation times ================= -**00:38.727** total execution time for **auto_examples** files: +**00:39.728** total execution time for **auto_examples** files: +-----------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_plot_smooth.py` (``plot_smooth.py``) | 00:22.130 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_plot_smooth.py` (``plot_smooth.py``) | 00:22.894 | 0.0 MB | +-----------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_plot_kernels.py` (``plot_kernels.py``) | 00:10.909 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_plot_kernels.py` (``plot_kernels.py``) | 00:10.659 | 0.0 MB | +-----------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_plot_writer_wrapper.py` (``plot_writer_wrapper.py``) | 00:03.192 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_plot_writer_wrapper.py` (``plot_writer_wrapper.py``) | 00:03.353 | 0.0 MB | +-----------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_plot_checkpointing.py` (``plot_checkpointing.py``) | 00:01.350 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_plot_checkpointing.py` (``plot_checkpointing.py``) | 00:01.589 | 0.0 MB | +-----------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_examples_plot_agent_manager.py` (``plot_agent_manager.py``) | 00:01.147 | 0.0 MB | +| :ref:`sphx_glr_auto_examples_plot_agent_manager.py` (``plot_agent_manager.py``) | 00:01.233 | 0.0 MB | +-----------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_examples_adastop_example.py` (``adastop_example.py``) | 00:00.000 | 0.0 MB | +-----------------------------------------------------------------------------------+-----------+--------+ diff --git a/preview_pr/_sources/basics/userguide/export_training_data.md.txt b/preview_pr/_sources/basics/userguide/export_training_data.md.txt index ab104fefd..cfe54c358 100644 --- a/preview_pr/_sources/basics/userguide/export_training_data.md.txt +++ b/preview_pr/_sources/basics/userguide/export_training_data.md.txt @@ -169,7 +169,7 @@ In the default writer you have the following information : Maybe you want to use other tools to train your agents, but you want to use rlberry tools for visualisation and/or statistical tests. If your training is compatible with tensorboard, you can load the data in a pandas dataframes to use them in rlberry. -Rlberry offer you this tool [here](rlberry.manager.utils) +Rlberry offer you this tool [here](rlberry.manager.tensorboard_folder_to_dataframe) Be careful about this 2 things: - The folder containing tensorboard results must respect the following tree structure : diff --git a/preview_pr/auto_examples/demo_bandits/plot_TS_bandit.html b/preview_pr/auto_examples/demo_bandits/plot_TS_bandit.html index 0868a9824..8de7bdb00 100644 --- a/preview_pr/auto_examples/demo_bandits/plot_TS_bandit.html +++ b/preview_pr/auto_examples/demo_bandits/plot_TS_bandit.html @@ -133,21 +133,21 @@