wassname/ray
1
0
Fork 0
mirror of https://github.com/wassname/ray.git synced 2026-08-01 12:51:09 +08:00
Code Issues Packages Projects Releases Wiki Activity

[rllib] Ape-X implementation and DQN refactor to handle replay in policy optimizer (#1604)

Browse Source 
* minimal apex checkin

* cleanup dqn options

* actor utils

* Sun Feb 25 17:39:54 PST 2018

* update

* compression refactor

* fix

* add test

* fix models

* Sun Feb 25 21:46:27 PST 2018

* Wed Feb 28 10:26:34 PST 2018

* Wed Feb 28 10:28:09 PST 2018

* Wed Feb 28 10:42:59 PST 2018

* refactor

* Wed Feb 28 11:17:19 PST 2018

* Wed Feb 28 11:42:08 PST 2018

* Wed Feb 28 11:42:13 PST 2018

* Wed Feb 28 11:59:02 PST 2018

* Wed Feb 28 11:59:58 PST 2018

* Wed Feb 28 12:00:08 PST 2018

* Wed Feb 28 12:02:19 PST 2018

* Wed Feb 28 13:44:31 PST 2018

* Wed Feb 28 17:01:20 PST 2018

* Sat Mar  3 14:55:59 PST 2018

* make optimizer construction explicit

* Sat Mar  3 18:23:08 PST 2018

* Sat Mar  3 18:24:28 PST 2018

* Sat Mar  3 18:49:28 PST 2018

* Sat Mar  3 18:50:42 PST 2018

* Sat Mar  3 18:56:10 PST 2018
This commit is contained in:
Eric Liang
2018-03-04 12:25:25 -08:00
committed by GitHub
parent 9b33f3a7b7
commit ecb811c26e
32 changed files with 934 additions and 431 deletions
Download Patch File Download Diff File Expand all files Collapse all files
python/ray/rllib/agent.py
+3
View File
@@ -231,6 +231,9 @@ def get_agent_class(alg):
elif alg == "DQN":
from ray.rllib import dqn
return dqn.DQNAgent
elif alg == "APEX":
from ray.rllib import dqn
return dqn.ApexAgent
elif alg == "A3C":
from ray.rllib import a3c
return a3c.A3CAgent