Credit Assignment

How Multi-Turn Reinforcement Learning Teaches AI Agents to Get Sequences Right

Multi-turn reinforcement learning trains AI agents to make good decisions across entire sequences of steps, rather than in single moments. This approach is essential for complex agentic tasks where failures occur due to accumulated errors over many turns, which single-turn methods cannot address.