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terrykong merged 1 commit into from
Feb 5, 2026
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docs: add release runs to front page readme for 0.5 #1879

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2 changes: 1 addition & 1 deletion README.md
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* [01/30/2026] [Release v0.5.0!](https://github.com/NVIDIA-NeMo/RL/releases/tag/v0.5.0)
* Both linux/amd64 and linux/arm64 Docker containers are available on NGC [nvcr.io/nvidia/nemo-rl:v0.5.0](https://registry.ngc.nvidia.com/orgs/nvidia/containers/nemo-rl/tags).
* NeMo-Gym + NeMo-RL support
* 📊 [Coming soon] release run
* 📊 View the release run metrics on [Google Colab](https://colab.research.google.com/drive/1Xgg8D7mNkWnz6t2uL8BbPfPb7UTkN1H0?usp=sharing) to get a head start on your experimentation.
* [12/15/2025] NeMo-RL is the framework that trained [NVIDIA-NeMotron-3-Nano-30B-A3B-FP8](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-FP8)! [This guide](docs/guides/nemotron-3-nano.md) provides reproducible instructions for the post-training process.
* [10/10/2025] **DAPO Algorithm Support**
NeMo RL now supports [Decoupled Clip and Dynamic Sampling Policy Optimization (DAPO)](https://arxiv.org/pdf/2503.14476) algorithm that extends GRPO with **Clip-Higher**, **Dynamic Sampling**, **Token-Level Policy Gradient Loss**, and **Overlong Reward Shaping** for more stable and efficient RL training. See the [DAPO guide](docs/guides/dapo.md) for more details.
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