From 394339deb52e03ae0e1d27f21b941849278c749e Mon Sep 17 00:00:00 2001
From: pzhokhov <peterzhokhoff@gmail.com>
Date: Wed, 3 Oct 2018 20:53:58 -0700
Subject: [PATCH] Update README.md

---
 README.md | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/README.md b/README.md
index 06b67f6..a9b7bf6 100644
--- a/README.md
+++ b/README.md
@@ -94,10 +94,6 @@ DQN with Atari is at this point a classics of benchmarks. To run the baselines i
 ```
 python -m baselines.run --alg=deepq --env=PongNoFrameskip-v4 --num_timesteps=1e6
 ```
-*NOTE:*
-The DQN-based algorithms currently do not get high scores on the Atari games 
-(see GitHub issue [431](https://github.com/openai/baselines/issues/431))
-We are currently investigating this and recommend users to instead use PPO2.
 
 ## Saving, loading and visualizing models
 The algorithms serialization API is not properly unified yet; however, there is a simple method to save / restore trained models.