How Reinforcement Learning Can Improve Your Agent

Explore how reinforcement learning can transform unreliable AI agents into dependable systems in this 12-minute conference talk from MLOps.community's Agents in Production 2025. Discover the open secret that most current agents fail to work reliably and examine the fundamental model issues that cannot be resolved through prompting alone. Learn why reinforcement learning represents the most promising approach to creating reliable agents and understand how designing effective reward signals will become the cornerstone of future agentic development. Gain insights into the transition from deterministically programmed agents to interactively taught systems, moving beyond the limitations of frozen models to achieve higher levels of agent performance and reliability.