mirror of
https://github.com/wassname/ray.git
synced 2026-07-19 11:27:32 +08:00
Richard LiawandRobert Nishihara
b463d9e5c7
* Initializing A3C code * Modifications for Ray usage * cleanup * removing universe dependency * fixes (not yet working * hack * documentation * Cleanup * Preliminary Portion Make sure to change when merging * RL part * Cleaning up Driver and Worker code * Updating driver code * instructions... * fixed * Minor changes. * Fixing cmake issues * ray instruction * updating port to new universe * Fix for env.configure * redundant commands * Revert scipy.misc -> cv2 and raise exception for wrong gym version.
51 lines
881 B
ReStructuredText
51 lines
881 B
ReStructuredText
===
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Ray
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===
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*Ray is a low-latency distributed execution framework targeted at machine
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learning and reinforcement learning applications.*
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.. toctree::
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:maxdepth: 1
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:caption: Installation
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install-on-ubuntu.md
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install-on-macosx.md
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install-on-docker.md
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installation-troubleshooting.md
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.. toctree::
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:maxdepth: 1
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:caption: Getting Started
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tutorial.md
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actors.rst
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api.rst
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.. toctree::
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:maxdepth: 1
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:caption: Examples
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example-hyperopt.rst
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example-policy-gradient.rst
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example-resnet.rst
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example-a3c.rst
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example-lbfgs.md
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example-rl-pong.md
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using-ray-with-tensorflow.md
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.. toctree::
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:maxdepth: 1
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:caption: Design
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remote-functions.md
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serialization.md
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.. toctree::
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:maxdepth: 1
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:caption: Cluster Usage
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using-ray-on-a-cluster.md
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using-ray-on-a-large-cluster.md
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using-ray-and-docker-on-a-cluster.md
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