How AI Learns from Rewards | Reinforcement Learning | MIT 6.S191 | L5 Explainer

Reinforcement learning trains an agent through actions, feedback, and rewards; simulated trial and error can teach policies but depends on the task and reward design. This independent course summary condenses a 2026 lecture. The original contains the full explanations, examples, and qualifications. ORIGINAL SOURCE Creator: Alexander Amini Title: MIT 6.S191: Reinforcement Learning Published: 2026-04-27    • MIT 6.S191: Reinforcement Learning   ABOUT SPLAINERS HQ Splainers HQ provides explainers for important discussions happening in the tech world. Independent educational summary; not affiliated with or endorsed by the original creator or speaker. Watch the original for full context. #TechSplainers #AI #DeepLearning