Beyond math and coding: New RL framework helps train LLM agents for complex, real-world tasks
via venturebeat.com
Short excerpt below. Read at the original source.
Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks beyond well-defined problems such as math and coding. Their framework, Agent-R1, is compatible with popular RL algorithms and shows considerable improvement on reasoning tasks that require […]