ELLIS Delft Research Theme - Sequential decision making

Topics: Reinforcement Learning, Planning & Control

Often AI must make more than one decision, and in sequential tasks past decisions can affect future possibilities. This temporal delay of cause and effect requires us to rethink modern AI approaches, and requires new methods for specification, learning, solving, deployment and verification. The ELLIS Delft unit brings together researchers from theoretical disciplines, like planning, reinforcement learning and verification, with applied researchers in robotics, trustworthy AI, decision support and autonomous driving.

Theme Coordinator

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