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UID:819@lincs.fr
DTSTART;TZID=Europe/Paris:20240228T103000
DTEND;TZID=Europe/Paris:20240228T113000
DTSTAMP:20240307T132558Z
URL:https://www.lincs.fr/events/is-reinforcement-learning-all-you-need/
SUMMARY:Is Reinforcement Learning all you need?
DESCRIPTION:When attacking a new problem\, the algorithm designer typically
 follows 3 main steps:\n\n 	rule out options that are unlikely to work
 well\n 	test the handful of options that made the first cut\n 	pick the
 best one and polish it until it shines\n\nWhen reporting her/his work\, the
 algorithm designer will proudly focus on step 3)\, briefly mention 2) and
 likely sweep 1) under the carpet. Yet\, skimming alternatives off is a
 crucial step\, that inevitably impacts (positively or negatively) months of
 hard work on testing and polishing.\n\nI would like to lift the veil on
 step 1) and start sharing some subjective\, but hopefully relatable\,
 insights on how to navigate through the staggering amount of options
 available to the algorithm designer to solve a sequential decision-making
 problem\, notably in the field of telecommunications.\n\nBased on a recent
 blog post
 https://mlwithouttears.com/2023/10/27/is-reinforcement-learning-all-you-nee
 d/\n\nSlides
CATEGORIES:Practical Networks,Working Group,Youtube
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
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DTSTART:20231029T020000
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