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Dorsa Sadigh
@
DorsaSadigh
San Francisco, CA
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Assistant Professor in Robotics at Stanford University
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201
Tweetovi
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85
Pratim
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1.571
Osobe koje vas prate
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Dorsa Sadigh
@DorsaSadigh
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1. velj |
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On challenges of learning human preferences... twitter.com/StanfordHAI/st…
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Dorsa Sadigh
@DorsaSadigh
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11. pro |
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I will be missing #CDC2019.
@ebiyik94 will present our work today on learning and influencing human decisions through routing and pricing autonomous vehicles.
paper: The Green Choice: arxiv.org/abs/1904.02209
w/ @ebiyik94 , Daniel Lazar, Ramtin Pedarsani
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Dorsa Sadigh
@DorsaSadigh
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15. stu |
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Stuart Russell speaking about a mathematical theory of care giving #BARS2019 pic.twitter.com/EHhfhaM7tP
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Dorsa Sadigh
@DorsaSadigh
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15. stu |
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Dorsa Sadigh
@DorsaSadigh
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15. stu |
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Excited to co-organize #BARS2019 with Mark Mueller at UC Berkeley. Looking forward to a day full of awesome robotics talks: bars2019.github.io pic.twitter.com/AQFGJFUUrc
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Anca Dragan
@ancadianadragan
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13. stu |
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My first attempt at a talk for a public audience, explaining some of the intricacies of human-robot coordination. Also a non-technical overview of work with @DorsaSadigh, Jaime Fisac, @andreaBajcsy, and collaborators from Claire Tomlin's group: wired.com/video/watch/an…
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Dorsa Sadigh
@DorsaSadigh
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12. stu |
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And Krishnan Srinivasan!
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Dorsa Sadigh
@DorsaSadigh
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12. stu |
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Our recent work on learning latent actions for making teleoperation easier and more intuitive: ai.stanford.edu/blog/assistive…
paper: arxiv.org/abs/1909.09674
w/ Dylan Losey, @AjayMandlekar, @animesh_garg
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Ben Recht
@beenwrekt
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11. stu |
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ICYMI: Reminder that submissions for L4DC 2020 are now open. Deadline is December 6. We’re excited to read your contributions! sites.google.com/berkeley.edu/l…
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Dorsa Sadigh
@DorsaSadigh
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4. stu |
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I will be missing #IROS2019. Our papers:
1) Robots that Take Advantage of Human Trust. w/ Dylan Losey.
paper: arxiv.org/abs/1909.05777
2) Active Learning of Reward Dynamics from Hierarchical Queries. w/ @ebiyik94, C. Basu, Z. He, M. Singhal.
paper: iliad.stanford.edu/pdfs/publicati…
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Fei-Fei Li
@drfeifei
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29. lis |
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Four incredible women leaders on stage of today’s @StanfordHAI #StanfordHumanAI conf, sharing their thought leadership on ML fairness @jovialjoy AI & economics @Susan_Athey tech & policy/regulation @MarietjeSchaake tech & national/international security & cooperations @AmyZegart pic.twitter.com/Xtsp5AaxZ4
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Dorsa Sadigh
@DorsaSadigh
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28. lis |
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(2/2) And the second paper is:
2) Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
paper: iliad.stanford.edu/pdfs/publicati…
w/ @ebiyik94 , Andy Palan, Nick Landolfi, and Dylan Losey.
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Dorsa Sadigh
@DorsaSadigh
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28. lis |
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(1/2) I will be missing #CoRL2019 . We will have a spotlight on:
1) Learning from My Partner’s Actions: Roles in Decentralized Robot Teams
paper: iliad.stanford.edu/pdfs/publicati…
blogpost: ai.stanford.edu/blog/learning-…
w/ Dylan Losey, Mengxi Li, and @leto__jean.
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Dorsa Sadigh
@DorsaSadigh
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28. lis |
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I am co-organizing the AI Safety Session tomorrow at 1-3pm. Trying to answer "What does safety mean and what should we do about it?" Speakers: @MarcoPavoneSU, @EmmaBrunskill , James Zou, Tino Cuellar, Moses Charikar, Ritchie Lee, Maxime Bouton, and Erika Strandberg. twitter.com/StanfordHAI/st…
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Dorsa Sadigh
@DorsaSadigh
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24. lis |
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On our recent work on asking easy questions from humans to learn reward function w\ @ebiyik94 , Andy Palan, Nick Landolfi, and Dylan Losey. This will be presented next week at CoRL 2019. techxplore.com/news/2019-10-u… via @techxplore_com
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IEEE Spectrum
@IEEESpectrum
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21. lis |
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They have very different views on #AutonomousWeapons, but these experts were able to reach consensus on a promising policy roadmap: @RonaldArkin, Leslie Kaelbling, Stuart Russell, @DorsaSadigh, @paul_scharre, Bart Selman, @TobyWalsh buff.ly/31Cszr4
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Erdem Bıyık
@ebiyik94
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10. ruj |
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Our recent work with Daniel A. Lazar, @DorsaSadigh and Ramtin Pedarsani on learning dynamic routing of autonomous cars to decrease traffic congestion is on arxiv now: arxiv.org/abs/1909.03664
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Dorsa Sadigh
@DorsaSadigh
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19. kol |
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Our final talk of today, Maxime Bouton talking about point-based methods for model checking of POMDPs pic.twitter.com/YqnXFAcPGd
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Dorsa Sadigh
@DorsaSadigh
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19. kol |
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Aleksandar Zeljić discussing challenges that arise in verification of deep neural networks using Reluplex pic.twitter.com/ACL2uYni3P
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Dorsa Sadigh
@DorsaSadigh
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19. kol |
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Alessio Lomuscio using parameterized model checking for fault tolerance of swarm robots pic.twitter.com/jymr5chWKA
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