ART: Agent Reinforcement Trainer – Simplifying Reinforcement Learning for LLMs
In recent years, the rise of large language models (LLMs) has opened the door for more intelligent and capable agents. However, training agents to perform multi-step tasks reliably remains challenging, primarily due to the need for careful reward function engineering. Enter (ART – Agent Reinforcement Trainer) an open-source framework designed to streamline reinforcement learning (RL) … Read more