Discover SWEET-RL and CollaborativeAgentBench: Innovative Tools for Training Multi-Turn Language Agents in Human-AI Collaboration Tasks
Large language models (LLMs) are evolving into autonomous agents that can tackle complex tasks requiring reasoning and adaptability. As they operate in areas like web navigation and personal assistance, they encounter multi-turn interactions that complicate decision-making. Training these agents effectively requires methods beyond simple response generation, leading to the exploration of reinforcement learning (RL). The ...
