RL Theory Virtual Seminars @RLtheory
Virtual seminar series featuring the latest advances in theoretical reinforcement learning. Seminars (approximately) every Tuesday at 6pm UTC. sites.google.com/view/rltheorys… Joined April 2020-
Tweets145
-
Followers5K
-
Following0
-
Likes15
Tomorrow 5pm Hamish Flynn will tell us how to construct practical confidence intervals for linear bandits that are tighter than the gold standard introduced in OFUL. Kwang Jun will be hosting.
Tomorrow (Tuesday) 5pm UTC, Andrew Wagenmaker will present about "Leveraging Offline Data in Online Reinforcement Learning". Hosted by Csaba & Vlad.
Tomorrow 5pm, Ayush Sekhari (MIT) will talk about "Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees". Paper: arxiv.org/abs/2311.08384
This Tuesday at ***5pm UTC*** (change of time!) Matthew Zurek will talk about "Span-Based Optimal Sample Complexity for Average Reward MDPs".
Another week, another talk. 6pm UTC, Tuesday, Roberto Cipollone will be talking about "Provably Efficient Offline Reinforcement Learning in Regular Decision Processes". Csaba will be hosting.
Making the twitter image thing was particularly easy this week. Daniil Tiapkin is presenting once more, on the related "Model-free posterior sampling via learning rate randomisation" work. Shipra Agrawal hosting. 6pm UTC. Please confirm local time---its clock-change season.
Another Tuesday, another talk. Noah Golowich (MIT). "Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles". 6pm UTC. Be there or be sparse?
This Tuesday, we have Caio Kalil Lauand (University of Florida) presenting ‘The Curse of Memory in Stochastic Approximation’. 6pm UTC. Hosted by Tor Lattimore & Johannes Kirschner.
Up tomorrow (20th Feb, 6pm UTC) we have Tor Lattimore (Deepmind) presenting "A Lower Bound for Linear and Kernel Regression with Adaptive Covariates".
RL Theory seminars are back! 13th February, 6pm UTC we have Gellért Weisz (DeepMind) presenting "Online RL in Linearly qπ-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore" See website for details and information on how to join: sites.google.com/view/rltheorys…
Our last talk of the year: 12/05 Qinghua Liu (Princeton) "Settling the Sample Complexity of Online Reinforcement Learning" Hosted by: Nan Jiang and David Janz For details, please see the website: sites.google.com/view/rltheorys…
Our next talk: 11/28: Zihan Zhang (Princeton) "Settling the Sample Complexity of Online Reinforcement Learning" Hosted by: Csaba Szepesvári and David Janz For details, please see the website: sites.google.com/view/rltheorys…
Our next talk: 11/21: Osama A. Hanna (UCLA) "Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms" Hosted by: Kwang-Sung Jun and David Janz For details, please see the website: sites.google.com/view/rltheorys………
Our next talk: 11/14: Zakaria Mhammedi (MIT) "Efficient Model-Free Exploration in Low-Rank MDPs" Hosted by: Nan Jiang and David Janz For details, please see the website: sites.google.com/view/rltheorys…… 📷
Due to daylight saving time, the seminar time in the previous announcement was incorrect in the UTC time standard. The correct time for the November 7 seminar (and future seminars) is: 6pm UTC (6 PM GMT / 7 PM CET / 10 AM PST / 1 PM EST)
Our next talk: 11/07: Yuda Song (CMU) "Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient" Hosted by: Chi Jin and David Janz For details, please see the website: sites.google.com/view/rltheorys…
Our next talk: 10/31: Jonathan Lee (Stanford) "Learning in POMDPs is Sample-Efficient with Hindsight Observability" Hosted by: Nan Jiang and David Janz For details, please see the website: sites.google.com/view/rltheorys…
Csaba Szepesvari @CsabaSzepesvari
8K Followers 704 Following "If there is not folly in the world, then the world itself is folly. You must understand that mistakes are not always regrets." - Paul Tobin, Bandette🤠
Dan Roy @roydanroy
45K Followers 2K Following ML / AI researcher, emphasis on theory. Research Director and Canada CIFAR AI Chair, @VectorInst Professor, @UofT (Statistics/CS)
Michal Valko @misovalko
5K Followers 2K Following Llama @AIatMeta Paris & Inria & MVA - Ex: Gemini and BYOL @GoogleDeepMind
Eugene Vinitsky @EugeneVinitsky
13K Followers 2K Following Anti-cynic. Artificial narrow intelligence. Autonomous vehicles, multi-agent learning, and transportation. RS at Apple, Asst. Prof at @nyutandon. He/him.
Pablo Samuel Castro @pcastr
10K Followers 814 Following Señor swesearcher @ Google DeepMind. Adjunct prof @ U de Montreal & Mila. Musician. From 🇪🇨 living in 🇨🇦.
yobibyte @y0b1byte
15K Followers 2K Following Kurin ViTaly, senior research scientist @IsomorphicLabs, ML PhD from @UniofOxford on RL, Multitask learning & Graphs
Gergely Neu @neu_rips
9K Followers 666 Following ML theory nerd & AI non-enthusiast. thinking a lot about online learning these days!
Natasha Jaques @natashajaques
25K Followers 1K Following Senior Research Scientist at @GoogleAI and Assistant Professor @uwcse. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from @MIT.
Frank Nielsen @FrnkNlsn
23K Followers 1K Following Machine Learning & AI, Information Sciences & Information Geometry, Distances & Statistical models, HPC. "Geometry defines the architecture of spaces" @SonyCSL
Amin Karbasi @aminkarbasi
8K Followers 2K Following Associate Professor at Yale University, staff research scientist at Google.
Jason Lee @jasondeanlee
10K Followers 3K Following Associate Professor at Princeton and Research Scientist at Google DeepMind. ML/AI Researcher working on foundations of LLMs and deep learning
Nan Jiang @nanjiang_cs
7K Followers 72 Following machine learning researcher, with focus on reinforcement learning. asst prof @ uiuc cs. Course on RL theory (w/ videos): https://t.co/vqVKwY4RJE
Thomas G. Dietterich @tdietterich
50K Followers 505 Following Distinguished Professor (Emeritus), Oregon State Univ.; Former President, Assoc. for the Adv. of Artificial Intelligence; Robust AI & Comput. Sustainability
Yisong Yue @yisongyue
19K Followers 3K Following Machine Learning @Caltech (@YueLabCaltech). AI for invention at @AsariAILabs. Autonomous Driving at https://t.co/riZHAmvcAr. Senior Program Chair @iclr_conf.
Peter Richtarik @peter_richtarik
6K Followers 593 Following Federated Learning Guru. Tweeting since 20.5.2020. Lived in 🇸🇰🇺🇸🇧🇪🇬🇧🇸🇦
Daniel Russo @DanielRuss0
1K Followers 140 Following Researcher. Prof of OR at Columbia. Tweeting about reinforcement learning.
Amir-massoud Farahman.. @SoloGen
5K Followers 2K Following Goal: Understanding the computational and statistical principles required to design AI/RL agents. #MahsaAmini #BlackLivesMatter
Zachary Lipton @zacharylipton
59K Followers 2K Following Professor: CMU/@acmi_lab, CTO / CSO: @AbridgeHQ, Creator: @d2l_ai & https://t.co/QQt98VNLUp, Relapsing 🎷
Khimya @khimya
4K Followers 999 Following Research Scientist @GoogleDeepmind Affiliate Faculty @Mila_Quebec Past: PhD @mcgillu @MSFTResearch @Intel @UF @IITKanpur Bosch @VIT_univ she/her Views are mine!
Shahnawaz Akhtar @0xShahnawaz
328 Followers 221 Following
Alo @Hal90910
0 Followers 2K Following
Mengdi Wang @MengdiWang10
1K Followers 265 Following Princeton professor in AIML, optimization and data science. Program Chair @ICLR2023. Formerly @MIT @GoogleDeepmind @Tsinghua
Gagan Jain @gaganjain1582
50 Followers 745 Following Predoc Researcher @GoogleDeepMind | IIT Bombay'22
Jotamrit Singh @JotamritS
3 Followers 355 Following
Yan Hu @sthuyan
12 Followers 268 Following Research fellow, The Chinese University of Hong Kong, Shenzhen
Mohammadreza @Mohammadre71127
0 Followers 345 Following
Per Kristian Lehre @pklehre
883 Followers 1K Following Professor, Computer Science, University of Birmingham (UK). Theory of #EvolutionaryComputation @[email protected]
Yiğit Yalın @yigityalin02
9 Followers 553 Following
Aya Shabbar @shabbaraya
0 Followers 33 Following CS Research; Reinforcement Learning, DeepRL, Statistical RL, and Machine Learning with New-Media Art in between.
Oken K. e/alignment @OkenK45
186 Followers 824 Following Alignment | Full Stack | JavaScript | Python | AI/ML
Davide Maran @DavideMaran3
39 Followers 115 Following PhD student at Polimi. Research interests: RL, bandits, ML theory, Representation Learning. Check my personal site: https://t.co/I9N0exd3Ef
IEEE CSS TC for Mfg. .. @IEEECSS_TC_MARC
6 Followers 36 Following The Official Account of the IEEE Control Systems Society (CSS) Technical Committee for Manufacturing Automation and Robotics Control (TC-MARC)
Frank Grimeson @FrankGrimeson
138 Followers 110 Following
GiuliaMP @giulia__mp
61 Followers 260 Following PhD candidate @ Sant'Anna. Graduated in Data Science and Scientific Computing @ UniTs. Love reading, video games, horse riding, and travel.
Kelly W. Zhang @kewzha
138 Followers 174 Following
Hadoop @Hadoop02277010
564 Followers 4K Following
Hirakjyoti Roy @hirakjr24
10 Followers 1K Following
Samuele Tosatto @tosatto_samuele
335 Followers 391 Following Assistant Professor @ Universität Innsbruck. Previously at @rlai_lab (@UAlberta), @ias_tudarmstadt, and AIRLab @polimi.
Steven Tang @steventang_o
12 Followers 66 Following
Yuhang Zhang @Zhang_Yuhang1
25 Followers 296 Following
Wei Xiong @weixiong_1
188 Followers 173 Following PhD Student @IllinoisCS, Practice Math for 2.5 Years
Sonny Jones @sonny_joness
110 Followers 183 Following Graduate Research Assistant @ NERVES Lab | BME PhD student in Data Science and Computation | Machine Learning, AI
Taka Hasegawa @takahasegawa
217 Followers 498 Following CTO of Palo Alto Insight. Instructional Associate at Georgia Tech teaching Reinforcement Learning. Cohost of @argmaxfm
Amin Rahimian @aminrahimian
683 Followers 1K Following assistant prof @PittTweet. networks, data, decisions. https://t.co/NDloPzxDzu
Renhao Zhang @renhaoz0226
12 Followers 112 Following PhD CS Student @UMassAmherst ScM ECE Student @BrownUniversity, member of @BrownBigAI and @BrownVisualComp
Andrew Siah @theandrewsiah
136 Followers 661 Following Working with kind, curious and smart people on cutting edge problems. And petting many dogs in the process. @Columbia
Özgür Şimşek @ozgur_simsek_
50 Followers 48 Following Professor of Artificial Intelligence, University of Bath
Pensé FFun @inftyCategory
113 Followers 6K Following
赫菲斯托斯 @hephaestus93god
4 Followers 213 Following
Mehrdad Moghimi @MehrdadM96
9 Followers 144 Following PhD Student at @YorkUniversity, Interested in risk-sensitive #ReinforcementLearning
PikaVoltV2 @PikaVoltv2
18 Followers 2K Following
Sahoo2Vec @iamwsubramanyam
46 Followers 841 Following If Elon is saying 1+1 = 11 then believe it. 1+1 = 2 might be wrong in some other simulations.
Arsenii Mustafin @Arseniy_data
58 Followers 270 Following PhD in Computer science at Boston University Санкт-Петербург-上海-Boston
Bora @Bora415350
2 Followers 23 Following
Noah @bigemptyboulder
15 Followers 26 Following
Abdelhakim Benechehab @koala1312ben
0 Followers 3 Following
8/ @RLtheory is another recent virtual talk series that presents the latest developments in RL theory. For instance, take a look at Matthieu Geist's work on regularization in RL: youtube.com/watch?v=SmpnZ7…
A new one to follow for #ReinforcementLearnning seminars! Thanks for sharing @RLtheory !!
Thanks everyone for joining us for our first seminar today! We'll make sure to make a policy-improvement step before next week's seminar :)
Trends for United States
You might like
