An agent takes actions, receives rewards or penalties, and improves its strategy over time. Used in games, robotics, and training LLMs to follow instructions.
37
Intermediate
Rl
Reinforcement Learning
Machine Learning
Reinforcement Learning
Learning by trial, error, and reward.