Uni-Agent: Train Long-Horizon Agents at Scale
Uni-Agent is an open framework for scalable long-horizon agent RL. We share our insights on harness adaptation, RL training, and practical recipes for agentic RL.
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verl-vla v0.1.0: A Unified Cloud-Edge Post-Training Loop for Large-Scale VLA
verl-vla is an open-source framework built on verl that unifies human-in-the-loop data collection, fine-tuning, evaluation, and reinforcement learning for vision-language-action policies across cloud and edge resources.
VeRL-Omni v0.2.0: Faster Diffusion RL and Stable Omni Training
A release focused on higher-throughput diffusion rollout, reusable omni adapters, and broader recipe coverage.