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Manuel Lopes (hosted by Marc Toussaint): Optimal Behavior Without Optimal Rewards : Artificial Vs Natural

On ZOOM (Contact communication@scioi.de for link)

Abstract: Research in robotics and A.I. aims at optimizing very specific task rewards. Intelligent animals have a high degree of curiosity, and recent results have shown that instrumental reward optimization is a poor explanation for their behavior. We can show that to explain empirical results from animals, we need to have the drive to optimize

Klaus Obermayer (SCIoI): Reward-based Learning and Decision Making under Risk

On ZOOM (Contact us for Link)

Reward-based Learning and Decision Making under Risk Reinforcement learning provides a framework for making agents learn policies through feedback signals (“rewards”), which provide information about whether their actions or action sequences were successful or not. Reinforcement learning also provides a framework for understanding how humans learn and decide given reward information only. Standard reinforcement learning

Thursday Morning Talk With Matteo Colombo (Tilburg University): Bayesian Norms and the Rationality of Perception

On ZOOM (Contact us for Link)

Patients suffering from schizophrenia are less susceptible to various perceptual illusions (and to some hallucinations, too) than most healthy individuals. Yet, schizophrenia patients’ perception-forming processes have been characterised as aberrant, as producing false inferences and irrational mental states. This characterisation is consistent with the idea that perceptual experiences and processes can be appraised as rational