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change timestamp to episode for logging #1325

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Feb 10, 2023
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4 changes: 2 additions & 2 deletions docs/misc/changelog.rst
Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@ Documentation:
- Renamed ``load_parameters`` to ``set_parameters`` (@DavyMorgan)
- Clarified documentation about subproc multiprocessing for A2C (@Bonifatius94)
- Fixed typo in ``A2C`` docstring (@AlexPasqua)

- Renamed timesteps to episodes for ``log_interval`` description (@theSquaredError)

Release 1.7.0 (2023-01-10)
--------------------------
Expand Down Expand Up @@ -1227,4 +1227,4 @@ And all the contributors:
@Gregwar @ycheng517 @quantitative-technologies @bcollazo @git-thor @TibiGG @cool-RR @MWeltevrede
@Melanol @qgallouedec @francescoluciano @jlp-ue @burakdmb @timothe-chaumont @honglu2875 @yuanmingqi
@anand-bala @hughperkins @sidney-tio @AlexPasqua @dominicgkerr @Akhilez @Rocamonde @tobirohrer @ZikangXiong
@DavyMorgan @luizapozzobon @Bonifatius94
@DavyMorgan @luizapozzobon @Bonifatius94 @theSquaredError
2 changes: 1 addition & 1 deletion stable_baselines3/common/base_class.py
Original file line number Diff line number Diff line change
Expand Up @@ -505,7 +505,7 @@ def learn(

:param total_timesteps: The total number of samples (env steps) to train on
:param callback: callback(s) called at every step with state of the algorithm.
:param log_interval: The number of timesteps before logging.
:param log_interval: The number of episodes before logging.
:param tb_log_name: the name of the run for TensorBoard logging
:param reset_num_timesteps: whether or not to reset the current timestep number (used in logging)
:param progress_bar: Display a progress bar using tqdm and rich.
Expand Down