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Agentic RL Training — verl documentation The goal of Agentic RL is to improve the performance of backend models from reinforcement learning to the Agent During the training process, a series of features are developed:
Part 1: Key Concepts in RL — Spinning Up documentation Key Concepts and Terminology ¶ Agent-environment interaction loop The main characters of RL are the agent and the environment The environment is the world that the agent lives in and interacts with At every step of interaction, the agent sees a (possibly partial) observation of the state of the world, and then decides on an action to take