16.6 Reinforcement Learning Applications
RL shines wherever decisions are made in sequence and feedback comes from results, not labeled answers. Famous successes include AlphaGo beating world champions, robots learning to walk and grasp, and game-playing agents that surpass humans. It is also used for recommendation systems, dynamic pricing, energy and traffic control, and finance.
A practical Ethiopian example: an electricity utility could use RL to balance load across the grid in real time, deciding when to draw more from hydro versus other sources to minimize blackouts and cost over a whole day.
Scenario
You want to recommend the next video to keep users engaged over a long session, learning from their clicks. Is RL a good fit?
Check your understanding
1/4 · 40 XPWhich is a well-known RL success in games?