wassname/ray
1
0
Fork 0
mirror of https://github.com/wassname/ray.git synced 2026-07-18 12:40:56 +08:00
Code Issues Packages Projects Releases Wiki Activity

[rllib] Fix broken link in docs (#1967)

Browse Source 
* Update README.rst

* Update rllib.rst
This commit is contained in:
Eric Liang
2018-04-30 16:02:48 -07:00
committed by Philipp Moritz
parent 1231aa0582
commit b55f4a7f04
2 changed files with 3 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files
python/ray/rllib/README.rst
+2 -3
View File
@@ -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.