THE LIVING ARCHIVE

From punched cards to autonomous collaborators: the ideas, people, languages and systems that taught machines to follow—and increasingly interpret—human intent.

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Tag: multi-agent-reinforcement-learning

Michael Littman and Markov Games: Extending Reinforcement Learning to Multiple Agents

Michael Littman's 1994 Markov-games paper extended reinforcement learning beyond a single adaptive learner by modeling environments in which other agents also choose actions and change the learner's world.

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