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jbelt0470 · Jun 30, 2021 · 3ce5c13 · 3ce5c13
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diff --git a/magenta/models/rl_tuner/README.md b/magenta/models/rl_tuner/README.md
@@ -107,7 +107,7 @@ for musical aesthetics, try modifying the `reward_music_theory` function!
 [blog post]: https://magenta.tensorflow.org/2016/11/09/tuning-recurrent-networks-with-reinforcement-learning/
 [ipynb]: https://nbviewer.jupyter.org/github/tensorflow/magenta/tree/master/magenta/models/rl_tuner/rl_tuner.ipynb
 [note rnn ckpt]: http://download.magenta.tensorflow.org/models/rl_tuner_note_rnn.ckpt
-[magenta pretrained]: https://github.com/magenta/magenta/tree/master/magenta/models/melody_rnn#pre-trained
+[magenta pretrained]: https://github.com/magenta/magenta/tree/main/magenta/models/melody_rnn#pre-trained
 [dqn ex]: https://github.com/nivwusquorum/tensorflow-deepq/blob/master/tf_rl/
 [g learning]: https://arxiv.org/pdf/1512.08562.pdf
 [psi learning]: http://homepages.inf.ed.ac.uk/svijayak/publications/rawlik-RSS2012.pdf

diff --git a/magenta/models/rl_tuner/rl_tuner_ops.py b/magenta/models/rl_tuner/rl_tuner_ops.py
@@ -97,7 +97,7 @@ def basic_rnn_hparams():
   """Generates the hparams used to train a basic_rnn.
 
   These are the hparams used in the .mag file found at
-  https://github.com/magenta/magenta/tree/master/magenta/models/
+  https://github.com/magenta/magenta/tree/main/magenta/models/
   melody_rnn#pre-trained
 
   Returns: