Reinforcement Learning

Definition of Reinforcement Learning as it relates to Technology, Artificial Intelligence, Artificial Intelligence Algorithms, Machine Learning Methods

Reinforcement Learning is a branch of machine learning where an agent learns to make decisions by taking actions in an environment to achieve a goal, with the aim of maximizing some notion of cumulative reward. It differs from other machine learning methods as it learns from trial and error rather than being explicitly taught and can handle situations where outcomes are uncertain. Reinforcement Learning has applications in various domains such as robotics, navigation, game playing, resource management, etc. In the hierarchy "Technology/Artificial Intelligence/Artificial Intelligence Algorithms/Machine Learning Methods", it falls under Machine Learning Methods and is a type of Artificial Intelligence Algorithm that deals with decision making and learning from experience.

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[Neural Networks]

Note
  • [ReinforcementLearning.org] Machine Intelligence | Personal site of Cosmo Harrigan.
  • [mlrl.org] Machine Learning Reinforcement Learning – Teaching material
  • [rldm.org] RLDM | The Multi-disciplinary Conference on Reinforcement Learning and Decision Making
  • [rlai.net] Reinforcement Learning and Artificial Intelligence, worldwide
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