What is reinforcement learning in production MLOps systems?

Reinforcement learning trains agents using reward signals from interactions with environments.

In production MLOps, reinforcement learning systems continuously interact with environments and update policies based on reward signals. Challenges include exploration-exploitation trade-offs, delayed rewards, and stability of training. RL is used in recommendations, robotics, and dynamic pricing systems.