Reinforcement Learning in Robotics: Key Concepts Explained
Introduction to Reinforcement Learning Reinforcement learning (RL) is a subfield of machine learning focused on how agents can learn to […]
AIMETRICSDATA
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AIMETRICSDATA
THINK DATA THINK FUTURE
Reinforcement Learning
Reinforcement learning (RL) is a machine learning method where an agent learns to make optimal decisions by interacting with its environment through trial and error. This learning is guided by a feedback system of rewards and punishments, where the agent’s goal is to discover a sequence of actions that will maximize its total cumulative reward over time.