# nvlabs/gbrl

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144 stars · 7 forks · C++ · MIT

## Links

- GitHub: https://github.com/NVlabs/gbrl
- Homepage: https://nvlabs.github.io/gbrl/
- awesome-repositories: https://awesome-repositories.com/repository/nvlabs-gbrl.md

## Description

GBRL is a Python-based Gradient Boosting Trees (GBT) library, similar to popular packages such as XGBoost, CatBoost, but specifically designed and optimized for reinforcement learning (RL). GBRL is implemented in C++/CUDA aimed to seamlessly integrate within popular RL libraries.

## Tags

### Part of an Awesome List

- [Gradient Boosting Research](https://awesome-repositories.com/f/awesome-lists/ai/gradient-boosting-research.md) — Reinforcement learning framework utilizing gradient boosting.