Preview documentation

rlberry-py · Oct 16, 2024 · 38d22a0 · 38d22a0
1 parent 93ef0a7
commit 38d22a0
Show file tree

Hide file tree

Showing 46 changed files with 205 additions and 185 deletions.
diff --git a/preview_pr/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/preview_pr/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
diff --git a/preview_pr/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/preview_pr/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
diff --git a/preview_pr/_images/sphx_glr_plot_TS_bandit_001.png b/preview_pr/_images/sphx_glr_plot_TS_bandit_001.png
diff --git a/preview_pr/_images/sphx_glr_plot_TS_bandit_002.png b/preview_pr/_images/sphx_glr_plot_TS_bandit_002.png
diff --git a/preview_pr/_images/sphx_glr_plot_TS_bandit_thumb.png b/preview_pr/_images/sphx_glr_plot_TS_bandit_thumb.png
diff --git a/preview_pr/_images/sphx_glr_plot_agent_manager_001.png b/preview_pr/_images/sphx_glr_plot_agent_manager_001.png
diff --git a/preview_pr/_images/sphx_glr_plot_agent_manager_thumb.png b/preview_pr/_images/sphx_glr_plot_agent_manager_thumb.png
diff --git a/preview_pr/_images/sphx_glr_plot_exp3_bandit_001.png b/preview_pr/_images/sphx_glr_plot_exp3_bandit_001.png
diff --git a/preview_pr/_images/sphx_glr_plot_exp3_bandit_thumb.png b/preview_pr/_images/sphx_glr_plot_exp3_bandit_thumb.png
diff --git a/preview_pr/_images/sphx_glr_plot_mirror_bandit_001.png b/preview_pr/_images/sphx_glr_plot_mirror_bandit_001.png
diff --git a/preview_pr/_images/sphx_glr_plot_mirror_bandit_thumb.png b/preview_pr/_images/sphx_glr_plot_mirror_bandit_thumb.png
diff --git a/preview_pr/_images/sphx_glr_plot_smooth_001.png b/preview_pr/_images/sphx_glr_plot_smooth_001.png
diff --git a/preview_pr/_images/sphx_glr_plot_smooth_002.png b/preview_pr/_images/sphx_glr_plot_smooth_002.png
diff --git a/preview_pr/_images/sphx_glr_plot_smooth_thumb.png b/preview_pr/_images/sphx_glr_plot_smooth_thumb.png
diff --git a/preview_pr/_images/sphx_glr_plot_ucb_bandit_001.png b/preview_pr/_images/sphx_glr_plot_ucb_bandit_001.png
diff --git a/preview_pr/_images/sphx_glr_plot_ucb_bandit_thumb.png b/preview_pr/_images/sphx_glr_plot_ucb_bandit_thumb.png
diff --git a/preview_pr/_images/sphx_glr_plot_writer_wrapper_001.png b/preview_pr/_images/sphx_glr_plot_writer_wrapper_001.png
diff --git a/preview_pr/_images/sphx_glr_plot_writer_wrapper_002.png b/preview_pr/_images/sphx_glr_plot_writer_wrapper_002.png
diff --git a/preview_pr/_images/sphx_glr_plot_writer_wrapper_thumb.png b/preview_pr/_images/sphx_glr_plot_writer_wrapper_thumb.png
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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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: