Home›Articles›How Barto and Sutton let reinforcement learning work without a known modelArticleHow Barto and Sutton let reinforcement learning work without a known modelArticlesConnectionsSourcesComments (0)Reader Challenges (0)ConnectionsArticle OnAndrew Barto, Pioneers Well-attested SourcesWikipedia: Andrew Bartotier 2Wikimedia FoundationCareer, Reinforcement learningQuote, Career, Reinforcement learningBarto and Sutton used Markov decision processes (MDP) as the mathematical foundation to explain how agents (algorithmic entities) made decisions when in a stochastic or random environment, receiving rewards at the end of every action.View the SourceAtlas Article Vocabularytier 1AtlasComments (0)No comments yet. Be the first to share a thought.Sign in to join the discussion.Reader Challenges (0)No disputes yet. Spotted an error or a better source? Open the first one.Sign in to dispute this or suggest a correction.