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[rllib] Standardize writing output logs and other files to /tmp/ray (#706)

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* rllib v0

* fix imports

* lint

* comments

* update docs

* a3c wip

* a3c wip

* report stats

* update doc

* add common logdir attr

* name is too long

* fix small bug

* propagate exception on error

* fetch metrics

* fix small nits
This commit is contained in:
Eric Liang
2017-07-03 16:01:47 +00:00
committed by Philipp Moritz
parent 2b11a7bca2
commit 66734847bb
6 changed files with 43 additions and 20 deletions
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doc/source/example-a3c.rst
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@@ -153,6 +153,6 @@ workers, we can train the agent in around 25 minutes.
You can visualize performance by running
:code:`tensorboard --logdir [directory]` in a separate screen, where
:code:`[directory]` is defaulted to :code:`/tmp/ray/a3c/`. If you are running
:code:`[directory]` is defaulted to :code:`/tmp/ray/`. If you are running
multiple experiments, be sure to vary the directory to which Tensorflow saves
its progress (found in :code:`a3c.py`).