Reinforcement learning trains models to take actions in an environment to maximize cumulative rewards. It’s used in robotics, game AI, and recommendation systems.
Reinforcement Learning
Learning through trial, error, and rewards.
Learning through trial, error, and rewards.
Reinforcement learning trains models to take actions in an environment to maximize cumulative rewards. It’s used in robotics, game AI, and recommendation systems.