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DTSTART;TZID=Europe/Berlin:20200604T160000
DTEND;TZID=Europe/Berlin:20200604T173000
DTSTAMP:20260409T132003
CREATED:20200514T091801Z
LAST-MODIFIED:20240813T105506Z
UID:7933-1591286400-1591291800@www.scienceofintelligence.de
SUMMARY:Klaus Obermayer (SCIoI): Reward-based Learning and Decision Making under Risk
DESCRIPTION:Reward-based Learning and Decision Making under Risk \nReinforcement 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 assumes that good decisions / actions / policies are the ones which maximize expected reward as a proxy of success. Humans and animals\, on the other hand\, often do not behave this way\, and there is ample evidence for multiple factors which influence learning and decision making. In my talk I will specifically discuss the interaction between risk and reward. I will first present a mathematical framework for including outcome-induced risk into reinforcement learning on Markov decision processes\, and I will derive a risk-sensitive variant of model-free Q-learning which is useful for quantifying human behavior. Then I will discuss extensions of this framework to the partially observable case and show preliminary results for cases where risk is induced by perceptual uncertainty. \n***Want to know more about this lecture? Contact us at communication@scioi.de***
URL:https://www.scienceofintelligence.de/event/pi-lecture-klaus-obermayer-scioi/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/11/obermayer_800.jpg
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DTSTART;TZID=Europe/Berlin:20200618T160000
DTEND;TZID=Europe/Berlin:20200618T173000
DTSTAMP:20260409T132003
CREATED:20200514T092105Z
LAST-MODIFIED:20240813T105515Z
UID:7935-1592496000-1592501400@www.scienceofintelligence.de
SUMMARY:Oliver Brock (SCIoI): Genesis\, Goals\, and Gossip of SCIoI
DESCRIPTION:Abstract: I would like to give a personal perspective of the scientific motivation and framing of SCIoI and relate them to the research of my lab\, the Robotics and Biology Laboratory. But at the same time\, I would like to critically question and discuss all of these things\, in an attempt to move towards a shared understanding of what we are trying to accomplish as a cluster.  And if we run out of exciting scientific topics (and you are curious about it)\, I can also talk about the history and soap opera of SCIoI\, a story that started more than 10 years ago. \n***Want to attend this lecture? Subscribe to our mailing list here or by sending an empty email to scioi-info-join@lists.tu-berlin.de\nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/pi-lecture-oliver-brock-scioi/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/06/brock_800.jpg
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