Vektor Dewanto
@tttorrr
study control and reinforcement-learning to make robots progressively more autonomous; love teaching. "Likes" is for bookmarks.
ID: 940441783
http://tttor.github.io/ 11-11-2012 02:57:42
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130 Followers
1,1K Following
excited to announce a new series of virtual seminars on ~~~REINFORCEMENT LEARNING THEORY~~~ we've set this up with Ciara Pike-Burke and Csaba Szepesvari to keep track of all the advances of this fast-paced field. hope others will also find it useful! sites.google.com/view/rltheorys…
Excited to introduce the AI Economist: Extends ideas from Reinforcement Learning for tackling inequality through learned tax policy design. The framework optimizes productivity and equality. Blog: blog.einstein.ai/the-ai-economi… Paper: arxiv.org/abs/2004.13332 Q&A: salesforce.com/company/news-p…
Can you beat this robot? 🤖🎾 #AI #MachineLearning #Sports #Robotics Mike Quindazzi Harold Sinnott 📱 Rajat Shrimal Sen. Sally Eaves Spiros Margaris Jean-Baptiste Lefevre Helen Yu Kohei Kurihara - Privacy for all together 🌍 Dr. Marcell Vollmer #StaySafe #CES2026 Kohei Kurihara - Privacy for all together 🌍 Christine Boursin 🌐 Ronald van Loon Andreas Staub Helene Li ✨🍀💜 x.com/Paula_Piccard/…
Average-reward model-free reinforcement learning: a systematic review and literature mapping deepai.org/publication/av… by Vektor Dewanto et al. including Marcus Gallagher #ReinforcementLearning #ArtificialIntelligence
A nearly Blackwell-optimal policy gradient method deepai.org/publication/a-… by Vektor Dewanto and Marcus Gallagher #ReinforcementLearning #ComputerScience
Examining average and discounted reward optimality criteria in reinforcement learning deepai.org/publication/ex… by Vektor Dewanto and Marcus Gallagher #ReinforcementLearning #ComputerScience
The Statistics with The Julia Language book is published! statisticswithjulia.org
Approximate discounting-free policy evaluation from transient and recurrent states deepai.org/publication/ap… by Vektor Dewanto and Marcus Gallagher #Statistics #Estimator