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.

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 ...

This is why Kherfan said he and two other trustees, Naindeep Singh and Yesenia Carillo, presented an updated “Safe Learning For All” policy during their latest board of trustees meeting.

This law enables working professionals to earn academic degrees by recognizing prior learning and work experience. By providing an alternative pathway to formal education, the law aims to make ...

A benchmark for evaluating reinforcement learning algorithms that train the policies using both real data and imaginary rollouts from LLMs. The concept of imaginary rollouts was proposed by KALM ...

Abstract: Reinforcement learning (RL) has demonstrated exceptional performance ... Specifically, effectively blocking transitions to failure states, maintaining consistent policy action selection, and ...

Learning Curriculum Policies for Reinforcement Learning. Sanmit Narvekar and Peter Stone. @InProceedings{AAMAS19-Narvekar, author = {Sanmit Narvekar and Peter Stone}, title = {Learning Curriculum ...

Trained via reinforcement learning, the system improves industrial and manufacturing applications, addressing labor shortages and safety. FigureAI has developed a new AI-powered walking controller ...

So they started building reasoning systems. Last year, companies like OpenAI began to lean heavily on a technique called reinforcement learning. Through this process — which can extend over ...

To leverage the strengths of both approaches, we introduce Hybrid pOlicy Path plannEr (HOPE). This novel solution integrates a reinforcement learning agent with Reeds-Shepp curves, enabling effective ...

601). Yet structural barriers continue to affect who can access and engage with learning opportunities, leading to unequal outcomes (Tuparevska et al., 2019; Morrice, 2013), particularly when ...