Profile search results

You searched for profiles matching the following:

  • Keyword: reinforcement learning

The search produced 6 results.

Search again

  • Johannes Friedrich Dr Johannes Friedrich
    My research lies at the intersection of computational neuroscience and machine learning, targeting the general question of how statistics can help us decipher neural computation. Most of my work centered on decision making, in particular on implem...
  • Ms Juliet Griffin
    I study the cognitive and neural mechanisms underlying the formation and stubborn persistence of delusions and other psychotic symptoms in psychiatric illnesses like schizophrenia. I am interested in how the brain uses uncertain information (parti...
  • James Heald Mr James Heald
    I am interested in understanding the computational principles that underlie sensorimotor control and learning in the human brain.
  • Dr Daniel Hill
    I am interested in the neurophysiology of reward valuation and decision making in the context of learning and memory. My current work is focused on better understanding how dopamine neurons encode value and economic utility. Though their role is w...
  • Tor Tarantola Tor Tarantola
    I study reinforcement learning, value-based decision-making, and social cognition. I am especially interested in how these processes contribute to moral judgments, in particular how people decide to punish others for violating social norms. I use ...
  • Steve Young Professor Steve Young
    My primary interest is in adaptive learning in spoken dialogue systems. This currently involves modelling human machine dialogues using the framework of Partially Observable Markov Decision Processes (POMDPs). The research issues addressed incl...

Search again