From b55f4a7f0423b55d156ec70d162764f979f4db27 Mon Sep 17 00:00:00 2001
From: Eric Liang <ekhliang@gmail.com>
Date: Mon, 30 Apr 2018 16:02:48 -0700
Subject: [PATCH] [rllib] Fix broken link in docs (#1967)

* Update README.rst

* Update rllib.rst
---
 doc/source/rllib.rst        | 2 +-
 python/ray/rllib/README.rst | 5 ++---
 2 files changed, 3 insertions(+), 4 deletions(-)

diff --git a/doc/source/rllib.rst b/doc/source/rllib.rst
index 9ff199eaf..3a5b1109c 100644
--- a/doc/source/rllib.rst
+++ b/doc/source/rllib.rst
@@ -17,7 +17,7 @@ RLlib's policy optimizers serve as the basis for RLlib's reference algorithms, w
 
 - Deep Deterministic Policy Gradients (`DDPG <https://github.com/ray-project/ray/tree/master/python/ray/rllib/ddpg>`__, `DDPG2 <https://github.com/ray-project/ray/tree/master/python/ray/rllib/ddpg2>`__).
 
-- Ape-X Distributed Prioritized Experience Replay, including both `DQN <https://github.com/ray-project/ray/blob/master/python/ray/rllib/dqn/apex.py>`__ and `DDPG <https://github.com/ray-project/ray/blob/master/python/ray/rllib/ddpg2/apex.py>`__ variants.
+- Ape-X Distributed Prioritized Experience Replay, including both `DQN <https://github.com/ray-project/ray/blob/master/python/ray/rllib/dqn/apex.py>`__ and `DDPG <https://github.com/ray-project/ray/blob/master/python/ray/rllib/ddpg/apex.py>`__ variants.
 
 - Evolution Strategies (`ES <https://github.com/ray-project/ray/tree/master/python/ray/rllib/es>`__), as described in `this paper <https://arxiv.org/abs/1703.03864>`__.
 
diff --git a/python/ray/rllib/README.rst b/python/ray/rllib/README.rst
index 8b2cdf44f..ea2befb04 100644
--- a/python/ray/rllib/README.rst
+++ b/python/ray/rllib/README.rst
@@ -15,9 +15,8 @@ RLlib includes the following reference algorithms:
 
 - Deep Deterministic Policy Gradients (`DDPG <https://github.com/ray-project/ray/tree/master/python/ray/rllib/ddpg>`__, `DDPG2 <https://github.com/ray-project/ray/tree/master/python/ray/rllib/ddpg2>`__).
 
-- Ape-X Distributed Prioritized Experience Replay, including both `DQN <https://github.com/ray-project/ray/blob/master/python/ray/rllib/dqn/apex.py>`__ and `DDPG <https://github.com/ray-project/ray/blob/master/python/ray/rllib/ddpg2/apex.py>`__ variants.
+- Ape-X Distributed Prioritized Experience Replay, including both `DQN <https://github.com/ray-project/ray/blob/master/python/ray/rllib/dqn/apex.py>`__ and `DDPG <https://github.com/ray-project/ray/blob/master/python/ray/rllib/ddpg/apex.py>`__ variants.
 
-- Evolution Strategies (`ES <https://github.com/ray-project/ray/tree/master/python/ray/rllib/es>`__), as described in `this
-   paper <https://arxiv.org/abs/1703.03864>`__.
+- Evolution Strategies (`ES <https://github.com/ray-project/ray/tree/master/python/ray/rllib/es>`__), as described in `this paper <https://arxiv.org/abs/1703.03864>`__.
 
 These algorithms can be run on any OpenAI Gym MDP, including custom ones written and registered by the user.