Hacker News
- Does “massively parallel simulation” help advance Reinforcement Learning? https://github.com/AI4Finance-Foundation/ElegantRL 3 comments
Linking pages
- GitHub - AI4Finance-Foundation/FinRL: FinRL: Financial Reinforcement Learning. 🔥 https://github.com/AI4Finance-Foundation/FinRL 53 comments
- GitHub - wwxFromTju/awesome-reinforcement-learning-lib: GitHub's code repository is all you need https://github.com/wwxFromTju/awesome-reinforcement-learning-lib 19 comments
- A New Era of Massively Parallel Simulation | by Xiao-Yang Liu | Nov, 2022 | Towards Data Science https://towardsdatascience.com/a-new-era-of-massively-parallel-simulation-a-practical-tutorial-using-elegantrl-5ebc483c3385 12 comments
- GitHub - AI4Finance-Foundation/FinRL: FinRL: Financial Reinforcement Learning. 🔥 https://github.com/AI4Finance-LLC/FinRL-Library 2 comments
- GitHub - AI4Finance-Foundation/ElegantRL: Cloud-native Deep Reinforcement Learning. 🔥 https://github.com/AI4Finance-LLC/ElegantRL 2 comments
- GitHub - AI4Finance-Foundation/FinRL-Meta: FinRL-Meta: Data-Driven Metaverse for Financial Reinforcement Learning. https://github.com/AI4Finance-Foundation/FinRL-Meta 1 comment
- A New Era of Massively Parallel Simulation: A Practical Tutorial Using ElegantRL | by Xiao-Yang Liu | Nov, 2022 | Medium https://elegantrl.medium.com/a-new-era-of-massively-parallel-simulation-a-practical-tutorial-using-elegantrl-5ebc483c3385 0 comments
Linked pages
- Python Release Python 3.6.0 | Python.org https://www.python.org/downloads/release/python-360/ 466 comments
- Welcome to Spinning Up in Deep RL! — Spinning Up documentation https://spinningup.openai.com/en/latest/ 23 comments
- Bevor Sie zu YouTube weitergehen https://www.youtube.com/playlist?list=PLmmYSbUCWJ4x1GO839azG_BBw8rkh-zOj 0 comments
- Isaac Gym - Preview Release | NVIDIA Developer https://developer.nvidia.com/isaac-gym 0 comments
- GitHub - ray-project/ray: Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads. https://github.com/ray-project/ray 0 comments
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