Fixed typo (#3)

* Fixed typo * Update changelog.rst Co-authored-by: Rouslan Placella <rouslan@placella.com>
hill-a · Mar 19, 2021 · b83a434 · b83a434
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diff --git a/docs/misc/changelog.rst b/docs/misc/changelog.rst
@@ -95,6 +95,7 @@ Documentation:
 - Added Slime Volleyball project (@hardmaru)
 - Added a table of the variables accessible from the ``on_step`` function of the callbacks for each algorithm (@PartiallyTyped)
 - Fix typo in README.md (@ColinLeongUDRI)
+- Fix typo in gail.rst (@roccivic)
 
 Release 2.10.0 (2020-03-11)
 ---------------------------
@@ -751,4 +752,4 @@ Thanks to @bjmuld @iambenzo @iandanforth @r7vme @brendenpetersen @huvar @abhiskk
 @MarvineGothic @jdossgollin @SyllogismRXS @rusu24edward @jbulow @Antymon @seheevic @justinkterry @edbeeching
 @flodorner @KuKuXia @NeoExtended @PartiallyTyped @mmcenta @richardwu @tirafesi @caburu @johannes-dornheim @kvenkman @aakash94
 @enderdead @hardmaru @jbarsce @ColinLeongUDRI @shwang @YangRui2015 @sophiagu @OGordon100 @SVJayanthi @sunshineclt
-@anj1
+@roccivic @anj1
diff --git a/docs/modules/gail.rst b/docs/modules/gail.rst
@@ -11,7 +11,7 @@ to recover a cost function and then learn a policy.
 
 Learning a cost function from expert demonstrations is called Inverse Reinforcement Learning (IRL).
 The connection between GAIL and Generative Adversarial Networks (GANs) is that it uses a discriminator that tries
-to seperate expert trajectory from trajectories of the learned policy, which has the role of the generator here.
+to separate expert trajectory from trajectories of the learned policy, which has the role of the generator here.
 
 .. note::