Machine Learning
Reinforcement Learning
RL
Machine Learning· Advanced
Definition
A type of machine learning where an agent learns optimal behavior by interacting with an environment and receiving rewards or penalties. The agent iteratively refines its policy to maximize cumulative reward. Powers robotics, game-playing AI, and autonomous systems.
Maxx Stacks Context
Key components: Agent, Environment, State, Action, Reward, Policy.
Tags
#agent#reward#policy#autonomous
MS
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