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neuroRL

Peter Dayan

Department for Computational Neuroscience Max Planck Institute for Biological Cybernetics Tübingen, Germany
neural reinforcement learning decision-making reward prediction computational psychiatry

Dayan’s department builds and tests computational models of neural processing, especially decision-making, learning, and representation.

Pros

  • Foundational, world-leading figure in neural reinforcement learning
  • MPI directorship with elite resources, prestige and network
  • Outstanding neuro-RL fit (reward prediction, decision-making, computational psychiatry)

MPI official department page

A quick heads-up: This list is a work in progress! The focus tags and pros are AI-generated, so they might occasionally miss the mark. If you spot any missing labs, notice an error, or have ideas for improvements, please feel free to open a pull request. We’d love your help making this better!