Problem 8 - Olympiad

What distinguishes reinforcement learning from supervised learning?

A. RL uses neural networks; supervised learning does notB. RL learns from scalar reward signals; supervised learning needs labeled input-output pairsC. RL cannot generalize to unseen statesD. Supervised learning requires an environment simulator

Correct: B

RL agents explore an environment, receive delayed rewards, and learn policies maximizing cumulative reward, whereas supervised learning directly maps labeled inputs to outputs.