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Institute of Foundation Models (IFM) at MBZUAI·Oct 22, 2026·v0.1.0·open source
RL360
RL360 is an open-source reinforcement learning infrastructure designed for the post-training of language models, specifically powering the K2 Horizon model family. It enables training models on complex tasks involving coding, tool use, and interaction with sandboxed environments through a distributed Ray-based architecture.
Reinforcement LearningLLM Post-trainingAgentic AIOpen Source
overview
RL360 is an open-source reinforcement learning infrastructure designed for the post-training of language models, specifically powering the K2 Horizon model family. It enables training models on complex tasks involving coding, tool use, and interaction with sandboxed environments through a distributed Ray-based architecture.
key features
- 01Distributed reinforcement learning orchestration using Ray
- 02Support for sandboxed agent execution and tool-use verification
- 03Integration with Megatron-LM and SGLang for scalable training and inference
- 04Advanced weight merging techniques for RL expert checkpoints
- 05Configurable Slurm-based training recipes for coding and agentic tasks
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