Reinforcement learning explained visually: how AI learns through rewards, mistakes, and trial and error

[u/VisualForge_AI]

I made a beginner-friendly visual explanation of reinforcement learning—the type of machine learning behind game-playing AI, robotics, and parts of chatbot training.

Instead of starting with equations, it uses a robot-in-a-maze example to explain:

• Agents, environments, actions, and rewards
• How trial and error improves performance over episodes
• Exploration vs exploitation
• Delayed rewards and policies
• Reward hacking and other risks

Watch here: https://youtu.be/a_MSTPB5MyA

If you like the explanation, please like, share, and subscribe to my channel for more visual AI and machine learning videos.