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Update the Callbacks: Evaluate Agent Performance section of the Examples (#1604)

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* Update examples.rst section "Callbacks: Evaluate Agent Performance"

Two typos fixed

* Update changelog

---------

Co-authored-by: Antonin Raffin <antonin.raffin@ensta.org>
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BertrandDecoster 2023-07-18 13:02:47 +02:00 committed by GitHub
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4
docs/guide/examples.rst
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@ -319,7 +319,7 @@ You can control the evaluation frequency with ``eval_freq`` to monitor your agen
from stable_baselines3 import SAC
from stable_baselines3.common.callbacks import EvalCallback
from stable-baselines3.common.env_util import make_vec_env
from stable_baselines3.common.env_util import make_vec_env
env_id = "Pendulum-v1"
n_training_envs = 1
@ -330,7 +330,7 @@ You can control the evaluation frequency with ``eval_freq`` to monitor your agen
os.makedirs(eval_log_dir, exist_ok=True)
# Initialize a vectorized training environment with default parameters
train_env = make_vec_env(env_id, n_env=n_training_envs, seed=0)
train_env = make_vec_env(env_id, n_envs=n_training_envs, seed=0)
# Separate evaluation env, with different parameters passed via env_kwargs
# Eval environments can be vectorized to speed up evaluation.

3
docs/misc/changelog.rst
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@ -35,6 +35,7 @@ Others:
Documentation:
^^^^^^^^^^^^^^
- Fixed callback example (@BertrandDecoster)
Release 2.0.0 (2023-06-22)
@ -1395,4 +1396,4 @@ And all the contributors:
@Melanol @qgallouedec @francescoluciano @jlp-ue @burakdmb @timothe-chaumont @honglu2875
@anand-bala @hughperkins @sidney-tio @AlexPasqua @dominicgkerr @Akhilez @Rocamonde @tobirohrer @ZikangXiong
@DavyMorgan @luizapozzobon @Bonifatius94 @theSquaredError @harveybellini @DavyMorgan @FieteO @jonasreiher @npit @WeberSamuel @troiganto
@lutogniew @lbergmann1 @lukashass
@lutogniew @lbergmann1 @lukashass @BertrandDecoster