verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.

AI is graduating from recognition to reasoning—and organizations must follow suit by scaling their computing power with ...

By categorizing and filtering user input, you can better focus on driving AI improvement. This iterative process—blending automation with human review—ensures AI learns from high-quality data, leading ...

Reward models holding back AI? DeepSeek's SPCT creates self-guiding critiques, promising more scalable intelligence for enterprise LLMs.

He also discussed the "education" of such machines "by means of rewards and punishments." Turing's ideas ultimately led to the development of reinforcement learning, a branch of artificial ...

Turing’s ideas ultimately led to the development of reinforcement learning, a branch of artificial intelligence. Reinforcement learning designs intelligent agents by training them to maximize rewards ...

Our approach integrates a reinforcement learning-based path planning algorithm to guide the multi-robot formation in identifying diffusion sources, with a clustering-based method for destination ...

Figure 02's human-like gait is the product of the company's simulated reinforcement learning system, and is just the beginning of its plans to make its robots perform physical tasks more naturally.

If you find this project useful, welcome to cite us. @article{lu2025ui, title={UI-R1: Enhancing Action Prediction of GUI Agents by Reinforcement Learning}, author={Lu, Zhengxi and Chai, Yuxiang and ...