Reinforcement Learning: Agents, Environments, and Rewards in Practice

TLDR: Reinforcement Learning trains agents to make sequences of decisions by learning from rewards and penalties. Unlike supervised learning, RL learns through trial and error rather than labeled examples. Use it for sequential decision problems wher...