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This project forked from dena/handyrl
HandyRL is a handy and simple framework for distributed reinforcement learning that is applicable to your own environments.
License: MIT License
handyrl's Introduction
- ๐ Student - Data and Computer Science at Heidelberg University
- ๐ป Researcher - Research assistant Uni HD
- ๐ป Former OSS contributor - Optuna, PyTorchLightning-Bolts
- Deep learning competitions
- Machine Learning Competitions
- Quantum Computing (Mostly Games and competitions)
- Deep Neural Networks
![](https://camo.githubusercontent.com/1ae31a77de2a99b57e23e9cdf67ca2212be3a02c7e93f2868b557cbf09ea7511/68747470733a2f2f6b6f6d617265762e636f6d2f67687076632f3f757365726e616d653d6a65726f6d65706174656c26636f6c6f723d677265656e267374796c653d666c61742d737175617265266c6162656c3d596f75722b56697369746f722b52616e6b)
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handyrl's People
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