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Computational Intelligence, Control & Information Lab

We build agents that learn to perceive, act, and acquire skills in complex physical systems — uniting reinforcement learning, control and dynamical-systems theory, and information theory, with intrinsic motivation as a recurring thread.

Support

Our research is supported by