diff --git a/docs/Training-ML-Agents.md b/docs/Training-ML-Agents.md
index 096ae36380..4afdfa9f3d 100644
--- a/docs/Training-ML-Agents.md
+++ b/docs/Training-ML-Agents.md
@@ -445,8 +445,8 @@ Below is a list of included `sampler-type` as part of the toolkit.
     `interval_2_max`], ...]
   - **sub-arguments** - `intervals`
 
-The implementation of the samplers can be found at
-`ml-agents-envs/mlagents_envs/sampler_class.py`.
+The implementation of the samplers can be found in the
+[sampler_class.py file](../ml-agents/mlagents/trainers/sampler_class.py).
 
 #### Defining a New Sampler Type
 
diff --git a/docs/Using-Tensorboard.md b/docs/Using-Tensorboard.md
index 2b86e78961..0cdf682a8a 100644
--- a/docs/Using-Tensorboard.md
+++ b/docs/Using-Tensorboard.md
@@ -21,10 +21,8 @@ session running on port 6006 a new session can be launched on an open port using
 the --port option.
 
 **Note:** If you don't assign a `run-id` identifier, `mlagents-learn` uses the
-default string, "ppo". All the statistics will be saved to the same sub-folder
-and displayed as one session in TensorBoard. After a few runs, the displays can
-become difficult to interpret in this situation. You can delete the folders
-under the `summaries` directory to clear out old statistics.
+default string, "ppo". You can delete the folders under the `results` directory
+to clear out old statistics.
 
 On the left side of the TensorBoard window, you can select which of the training
 runs you want to display. You can select multiple run-ids to compare statistics.