How to Build a Model-Native Agent That Learns Internal Planning, Memory, and Multi-Tool Reasoning Through End-to-End Reinforcement Learning
In this tutorial, we discover how an agent can internalize planning, reminiscence, and instrument use inside a single neural mannequin moderately than counting on exterior orchestration. We design a compact, model-native agent that learns to carry out arithmetic reasoning duties by reinforcement studying. By combining a stage-aware actor-critic community with a curriculum of more and…
