Reinforcement Learning
Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment and receiving rewards or penalties for its actions. It’s all about learning through trial and error. Key Characteristics / Core Concepts Agent: The learner and decision-maker. Environment: The world the agent interacts with. State: … Read more