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[tune] clean up population based training prototype (#1478)

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* patch up pbt

* Sat Jan 27 01:00:03 PST 2018

* Sat Jan 27 01:04:14 PST 2018

* Sat Jan 27 01:04:21 PST 2018

* Sat Jan 27 01:15:15 PST 2018

* Sat Jan 27 01:15:42 PST 2018

* Sat Jan 27 01:16:14 PST 2018

* Sat Jan 27 01:38:42 PST 2018

* Sat Jan 27 01:39:21 PST 2018

* add pbt

* Sat Jan 27 01:41:19 PST 2018

* Sat Jan 27 01:44:21 PST 2018

* Sat Jan 27 01:45:46 PST 2018

* Sat Jan 27 16:54:42 PST 2018

* Sat Jan 27 16:57:53 PST 2018

* clean up test

* Sat Jan 27 18:01:15 PST 2018

* Sat Jan 27 18:02:54 PST 2018

* Sat Jan 27 18:11:18 PST 2018

* Sat Jan 27 18:11:55 PST 2018

* Sat Jan 27 18:14:09 PST 2018

* review

* try out a ppo example

* some tweaks to ppo example

* add postprocess hook

* Sun Jan 28 15:00:40 PST 2018

* clean up custom explore fn

* Sun Jan 28 15:10:21 PST 2018

* Sun Jan 28 15:14:53 PST 2018

* Sun Jan 28 15:17:04 PST 2018

* Sun Jan 28 15:33:13 PST 2018

* Sun Jan 28 15:56:40 PST 2018

* Sun Jan 28 15:57:36 PST 2018

* Sun Jan 28 16:00:35 PST 2018

* Sun Jan 28 16:02:58 PST 2018

* Sun Jan 28 16:29:50 PST 2018

* Sun Jan 28 16:30:36 PST 2018

* Sun Jan 28 16:31:44 PST 2018

* improve tune doc

* concepts

* update humanoid

* Fri Feb  2 18:03:33 PST 2018

* fix example

* show error file
This commit is contained in:
Eric Liang
2018-02-02 23:03:12 -08:00
committed by GitHub
parent a936468f99
commit b948405532
22 changed files with 697 additions and 287 deletions
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test/jenkins_tests/run_multi_node_tests.sh
+9 -1
View File
@@ -164,7 +164,15 @@ docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/tune/examples/tune_mnist_ray.py \
--fast
--smoke-test
docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/tune/examples/pbt_example.py \
--smoke-test
docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/tune/examples/hyperband_example.py \
--smoke-test
docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/rllib/examples/multiagent_mountaincar.py