Research
LIDS PIs engage in research across a broad range of fields:
Research Fields
From Reinforcement Learning, Sequential Decision Making, and Learning for Control, to Autonomy and Control Theory, and Statistics and Statistical Inference.
LIDS PIs engage in research across a broad range of fields, from Reinforcement Learning, Sequential Decision Making, and Learning for Control, to Autonomy and Control Theory, and Statistics and Statistical Inference.
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OUR RESEARCH
Focus areas
Machine learning
LIDS focuses on scalable algorithms in inference and machine learning, extracting insights from complex data for estimation, optimization, and control.
LIDS is a center of gravity at MIT for machine learning research. LIDS research has made pioneering contributions to machine leaning theory, algorithms and applications, including key advances in relevant disciplines, such as statistics, optimization and game theory.
Machine Learning FoundationsAutonomy & Agency
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The ability to reason and make critical decisions will enable computers to take on tasks with unprecedented complexity. LIDS research has made pioneering contributions that enable autonomous systems and agents to successfully perform important tasks in the physical world.
Autonomy & Agency
Computing & Soceity
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As computing continues to infuse into the physical and social fabric of our lives, its societal implications take on a critical importance. LIDS research has provided key insights into some of the most pressing issues, for example, in healthcare and human resources.
Computing & SocietyComputing & Sustainability
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As the footprint of computing continues to grow, so does its impact on our energy infrastructre, our supply chains and our planet. LIDS research has helped identify pressing issues and found solutions to support the growing footprint of computing.
Computing & Sustainability
OUR RESEARCH
Impact areas
Energy & Infrastructure
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Energy & InfrastructureHealthcare
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Healthcare
Human Resources
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Human Resources Robotics & Autonomous Vehicles
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Robotics & AVs
Sustainability & Environment
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Sustainability & EnvironmentTransportation
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Transportation
OUR RESEARCH
Research Initiatives
Modeling, Computing, and Control (EIMC2)
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Modeling, Computing, Control Autonomous Vehicles
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Autonomous Vehicles
Communications & Networks
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Communications & NetworksBehavioral Science
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Behavioral Science
Earth Observation
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Earth ObservationOUR RESEARCH
Research Fields
Reinforcement learning
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Reinforcement LearningLearning and control
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Learning and Control
Statistical inference
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Statistical Inferencegame theory
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Game Theory
Theory of Computation
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Theory of Computation Communication & Networks
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Communication & NetworksInformation Theory
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Cambridge, MA 02139
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