Haiquan Chen
Engineer at ByteDance and core contributor to the verl project
Haiquan Chen, developer at Volcano Engine and core contributor to the verl project, specializing in reinforcement learning for autonomous agents and cloud infrastructure.
Topic
verl: A Flexible and Efficient Reinforcement Learning Framework for Large Language Models
verl is a flexible and efficient reinforcement learning library designed for large language model inference and tool integration. It adopts a hybrid controller paradigm and supports multiple parallel strategies and algorithms. Outline: 1. Background of the verl project 2. Key features of the project 3. New functionalities 4. Development roadmap
