BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220720T163212Z UID:E2AD270E-8E7A-47A6-BDC8-9C305B31A7E5 DTSTART;TZID=America/New_York:20220720T113000 DTEND;TZID=America/New_York:20220720T123000 DESCRIPTION:This talk uses revealed preferences ideas stemming from microec onomics to develop inverse reinforcement learning methods in the context o f cognitive radars. The talk comprises three parts. The first part develop s inverse reinforcement learning algorithms to identify if a radar is cogn itive\, and to estimate the radar's utility function and constraints. The second part of the talk discusses how to design a radar that hides is cogn ition\, i.e. how a cognitive radar can act dumb. Finally\, we briefly disc uss real time inverse reinforcement learning based on stochastic Lagenvin dynamics algorithms.\n\nJoin Zoom Meeting\n\nhttps://udayton.zoom.us/j/822 66160148?pwd=P5UedaxJ1xdV7_c-8sd4hFuOUvTGIT.1\n\nMeeting ID: 822 6616 0148 \n\nPassword: 878163\n\nOne tap mobile\n\n+13126266799\,\,82266160148# US (Chicago)\n\n+16465588656\,\,82266160148# US (New York)\n\nDial by your lo cation\n\n+1 312 626 6799 US (Chicago)\n\n+1 646 558 8656 US (New York)\n\ n+1 301 715 8592 US (Washington DC)\n\n+1 346 248 7799 US (Houston)\n\n+1 669 900 9128 US (San Jose)\n\n+1 253 215 8782 US (Tacoma)\n\nMeeting ID: 8 22 6616 0148\n\nFind your local number: https://udayton.zoom.us/u/kcv4yUzG Yq\n\n<https://udayton.zoom.us/u/kcv4yUzGYq>\n\nSpeaker(s): Dr. Vikram Kri shnamurthy\, \n\nVirtual: https://events.vtools.ieee.org/m/318454 LOCATION:Virtual: https://events.vtools.ieee.org/m/318454 ORGANIZER:holly.zelnio@us.af.mil SEQUENCE:3 SUMMARY:Inverse Reinforcement Learning for Identifying Cognitive Radars URL;VALUE=URI:https://events.vtools.ieee.org/m/318454 X-ALT-DESC:Description: <br /><p>This talk uses revealed preferences ideas stemming from microeconomics to develop inverse reinforcement learning met hods in the context of cognitive radars. The talk comprises three parts. T he first part develops inverse reinforcement learning algorithms to identi fy if a radar is cognitive\, and to estimate the radar's utility function and constraints. The second part of the talk discusses how to design a rad ar that hides is cognition\, i.e. how a cognitive radar can act dumb. Fina lly\, we briefly discuss real time inverse reinforcement learning based on stochastic Lagenvin dynamics algorithms.</p>\n<p>&nbsp\;</p>\n<p>Join Zoo m Meeting</p>\n<p>https://udayton.zoom.us/j/82266160148?pwd=P5UedaxJ1xdV7_ c-8sd4hFuOUvTGIT.1</p>\n<p>Meeting ID: 822 6616 0148</p>\n<p>Password: 878 163</p>\n<p>One tap mobile</p>\n<p>+13126266799\,\,82266160148# US (Chicag o)</p>\n<p>+16465588656\,\,82266160148# US (New York)</p>\n<p>Dial by your location</p>\n<p>&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; +1 312 626 6799 US (Chicago)</p>\n<p>&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;& nbsp\; +1 646 558 8656 US (New York)</p>\n<p>&nbsp\;&nbsp\;&nbsp\;&nbsp\;& nbsp\;&nbsp\;&nbsp\; +1 301 715 8592 US (Washington DC)</p>\n<p>&nbsp\;&nb sp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; +1 346 248 7799 US (Houston)</p>\n <p>&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; +1 669 900 9128 US (S an Jose)</p>\n<p>&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; +1 253 215 8782 US (Tacoma)</p>\n<p>Meeting ID: 822 6616 0148</p>\n<p>Find your l ocal number: https://udayton.zoom.us/u/kcv4yUzGYq</p>\n<p>&lt\;https://uda yton.zoom.us/u/kcv4yUzGYq&gt\;</p> END:VEVENT END:VCALENDAR