Merge pull request openai#90 from rootulp/patch-4

SOTA -> state of the art
mahdinobar · Jun 28, 2019 · 79a6d5d · 79a6d5d
2 parents 61dc7c3 + 96df49f
commit 79a6d5d
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/docs/user/algorithms.rst b/docs/user/algorithms.rst
@@ -31,7 +31,7 @@ They are all implemented with `MLP`_ (non-recurrent) actor-critics, making them
 Why These Algorithms?
 =====================
 
-We chose the core deep RL algorithms in this package to reflect useful progressions of ideas from the recent history of the field, culminating in two algorithms in particular---PPO and SAC---which are close to SOTA on reliability and sample efficiency among policy-learning algorithms. They also expose some of the trade-offs that get made in designing and using algorithms in deep RL.
+We chose the core deep RL algorithms in this package to reflect useful progressions of ideas from the recent history of the field, culminating in two algorithms in particular---PPO and SAC---which are close to state of the art on reliability and sample efficiency among policy-learning algorithms. They also expose some of the trade-offs that get made in designing and using algorithms in deep RL.
 
 The On-Policy Algorithms
 ------------------------