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Making steady progress, always.
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Making steady progress, always.

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  1. An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyp…

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  3. Super Rapid Reinforcement Learning Algo Implementation Library

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  4. Tensorforce: a TensorFlow library for applied reinforcement learning

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  5. 2D Game Engine based on Pygame and Level-TMX Files

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  6. Keeping track of RL experiments

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924 contributions in the last year

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Contribution activity

February 2022

Created 3 commits in 1 repository

Created a pull request in ray-project/ray that received 3 comments

[RLlib] Speedup A3C up to 3x (new training_iteration function instead of execution_plan) and re-instate Pong learning test.

This PR: Provides a new training_iteration function for A3C (alternative to existing execution_plan). By default, uses that new iteration function (

+128 −43 3 comments