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X-WR-CALDESC:Events for CREST
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TZID:Europe/Paris
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DTSTART:20210328T010000
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DTSTART:20211031T010000
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DTSTART;TZID=Europe/Paris:20210315T140000
DTEND;TZID=Europe/Paris:20210315T151500
DTSTAMP:20260712T081113
CREATED:20210210T140354Z
LAST-MODIFIED:20210210T140354Z
UID:10641-1615816800-1615821300@crest.science
SUMMARY:Alessandro LAZARIC (Facebook AI) - "Exploration-exploitation in reinforcement learning with function approximation"
DESCRIPTION:\nStatistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:15 pm\nDate: 15th of March 2021\nPlace: Visio\nAlessandro LAZARIC (Facebook AI) – “Exploration-exploitation in reinforcement learning with function approximation” \nAbstract: Most of recent reinforcement learning algorithms combine standard dynamic programming algorithms (e.g.\, value iteration) with advanced function approximation techniques (notably\, adapted from deep learning). Nonetheless\, the effect of function approximation on the online performance of RL algorithms is still relatively poorly understood.\nIn this seminar\, we will review how exploration-exploitation techniques can be paired with RL function approximation methods in environments with continuous state-action spaces. In particular\, we will focus on linear approximations and show how they impact the learning performance. We will also review the different assumptions that have been used in this space and what are the major open questions. \nOrganizers:\nCristina BUTUCEA (CREST)\, Alexandre TSYBAKOV (CREST)\, Karim LOUNICI (CMAP) \, Zoltan SZABO (CMAP)\nSponsors:\nCREST-CMAP\n \n\n
URL:https://crest.science/event/alessandro-lazaric-2/
CATEGORIES:Statistics
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