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Inverse optimal control (IOC) and/or inverse reinforcment learning (IRL)
Experts' demonstration data can be used to learn reward functions in order to efficiently build artificial intelligence via inverse optimal control or inverse reinforcment. We are currently applying IRL to build AI for dual armed mobile robots to interact with human workers in dynamically uncertain environments.