Ron Meir

Ron Meir -Learning, Decision making & Control in complex dynamic environments

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Research Summary

My main focus is on learning, decision making and control in complex dynamic environments. I work on lifelong learning, where an agent continually interacts with an environment and learns to effectively transfer acquired knowledge and skills to facilitate learning new tasks. Situations where a learner works in combination with a ‘teacher’ in forming successful learning curricula are of particular current interest. Within the domain of Reinforcement Learning, I am interested in effective approaches to flexible exploration schemes which subserve both short-term and long-term goals. Applications of these ideas to domains (e.g., medical data) where prior knowledge can be used in order to improve performance are also of interest.

Current Research

  • Reinforcement learning in natural and artificial systems
  • The perception-action cycle
  • Lifelong learning
  • Prior knowledge in learning
  • The interaction between sensory and motor systems in control
  • Learning and representation in deep neural networks