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Mathematics, Physics & Machine Learning Seminar – Csaba ...
tecnico.ulisboa.pt
Jun 25, — Speaker: professor Csaba Szepesvári (University of Alberta, Edmonton, Canada; DeepMind Technologies Ltd.) • Title: “Confident Off-Policy ... › events › se...
Csaba Szepesvári | Data Science Summer School2017.ds3-datascience-polytechnique.fr › events › csaba-szepesvari-3
2017.ds3-datascience-polytechnique.fr
Csaba Szepesvári. Event details: Start date 1 September h 30 min. End date 1 September h 30 min. Calendar Data Science Summer School.
Dagstuhl Seminar on Reinforcement Learning - Petar Kormushev
kormushev.com
I just participated in the Dagstuhl Seminar No The topic was Reinforcement Learning, and it was a very well-attended event with some high-profile experts
CWI Lectures on Machine Learning (2017) — CWI Amsterdam
www.cwi.nl
This year, the CWI Lectures will be held on Thursday 23 November. The theme will be Machine Learning and the afternoon will be organized by CWI's newly...
Network Profiles
Yasin Abbasi-Yadkori - Papers With Code
paperswithcode.com
no code implementations • 12 Aug • Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazić, Csaba Szepesvári. Under the assumption that the Q-functions ... › author › yasin-abbasi-yad...
GitHub - sumeetsk/rank1bandits: Algorithms for Stochastic Rank-1...
github.com
Algorithms for Stochastic Rank-1 Bandits. Contribute to sumeetsk/rank1bandits development by creating an account on GitHub.
Business Profiles
Researchgate: Csaba Szepesvári
Edmonton, Alberta, Canada
Csaba SZEPESVÁRI | Professor (Full) | Degree: 36.7C ...
www.researchgate.net
My main interest is to develop theories that help us in designing learning algorithms with a wider range of applicability, tackling new challenges, as well as to better understand how learning ...
Education
Algorithms for Reinforcement Learning
www.cs.utexas.edu
Algorithms for Reinforcement Learning. Algorithms for Reinforcement Learning Csaba Szepesvári, Download. [HTML]. Abstract. (unavailable). BibTeX Entry. › ~shivaram › readings
Shivaram's Reading List
www.cs.utexas.edu
Richard S. Sutton, Hamid Reza Maei, Doina Precup, Shalabh Bhatnagar, David Silver, Csaba Szepesvári, and Eric Wiewiora, Details · Feature Discovery ...
Daniel J. Hsu - Computer Science Department, Columbia University
www.cs.columbia.edu
Author: Daniel Hsu
Books & Literature
Jyriki Kivinen & Csaba Szepesvári: Algorithmic Learning Theory (ebook/PC-PDF)
2011, Sciences, Computer Science, Application Software, ISBN:
Bandit Algorithms (Hardback) by Tor Lattimore AbeBooks
www.abebooks.com
Tor Lattimore, Csaba Szepesvári ; Published by Cambridge University Press, United Kingdom, ; New Condition: New Hardcover ; From Book Depository International ... › Bandit-Algorithms-Hardb...
Bandit Algorithms by Tor Lattimore - Goodreads
www.goodreads.com
Preview — Bandit Algorithms by Tor Lattimore. Bandit Algorithms. by. Tor Lattimore,. Csaba Szepesvári · Rating details · 6 ratings · 0 reviews ... › book › show ›
Related Documents
TensorPlan and the Few Actions Lower Bound for Planning in ...
arxiv.org
by G Weisz · · Cited by 6 — Authors:Gellért Weisz, Csaba Szepesvári, András György · Download PDF. Abstract: We consider the minimax query complexity of online planning ... › cs
Convergent Temporal-Difference Learning with Arbitrary ...
proceedings.neurips.cc
by H Maei · · Cited by 281 — Authors. Hamid Maei, Csaba Szepesvári, Shalabh Bhatnagar, Doina Precup, David Silver, Richard S. Sutton. Abstract. › paper › hash
Search | arXiv e-print repository
arxiv.org
Cleaning up the neighborhood: A full classification for adversarial partial monitoring. Authors: Tor Lattimore, Csaba Szepesvari. Abstract: Partial monitoring is a ...
CiteSeerX — Bandit based Monte-Carlo Planning
citeseerx.ist.psu.edu
... Errors · Monitor Changes. by Levente Kocsis , Csaba Szepesvári ... author = {Levente Kocsis and Csaba Szepesvári}, title = {Bandit based Monte-Carlo ...
Scientific Publications
Models of active learning in group-structured state spaces ...www.sciencedirect.com › science › article › abs › pii
www.sciencedirect.com
Recommended articles. Citing articles (0). This paper is an extended version of [3]. Csaba Szepesvári is on leave from MTA SZTAKI, Budapest, Hungary.
dblp: Csaba Szepesvári
dblp.uni-trier.de
Yao Ma, Alex Olshevsky, Venkatesh Saligrama, Csaba Szepesvári: Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers. CoRR abs (2019)
Toward a classification of finite partial-monitoring games -...
www.sciencedirect.com
[24]: András Antos, Gábor Bartók, Csaba Szepesvári, Non-trivial two-armed partial-monitoring games with sublinear regrets are bandits. CoRR ...
Publications
Algorithms for Reinforcement Learning | SpringerLink
link.springer.com
by C Szepesvári · Cited by — Csaba Szepesvári received his PhD in from "Jozsef Attila" University, Szeged, Hungary. He is currently an Associate Professor at the Department of ... › book
Bandit Based Monte-Carlo Planning | SpringerLink
link.springer.com
For large state-space Markovian Decision Problems Monte-Carlo planning is one of the few viable approaches to find near-optimal solutions. In this paper we...
Online Optimization in ê•-Armed Bandits - Microsoft Research
www.microsoft.com
Sébastien Bubeck; Rémi Munos; Gilles Stoltz; Csaba Szepesvári. Advances in Neural Information Processing Systems (NIPS) | January
Video & Audio
Theory of RL - Csaba Szepesvári, - YouTube
www.youtube.com
Sep 05, · Relaxing Rain and Thunder Sounds, Fall Asleep Faster, Beat Insomnia, Sleep Music, Relaxation Sounds - Duration: 3:00:01. Jason Stephenson - Sleep Meditation Music 6,592,557 views
Reports & Statements
Twitter Posts: CIFAR on Twitter: "Meet the #realbrains behind bandit ...
Dec 15, — Meet the #realbrains behind bandit algorithms, Csaba Szepesvári. cc. @CsabaSzepesvari · @AmiiThinks · @UAlberta. Translate Tweet. › CIFAR_News › status
Wikipedia: Monte Carlo tree search - Wikipedia
In computer science, Monte Carlo tree search (MCTS) is a heuristic search algorithm for some ... and exploration in games, called UCT (Upper Confidence Bound 1 applied to trees), was introduced by Levente Kocsis and Csaba Szepesvári.
Miscellaneous
RL theory seminars - About - Google Sites
sites.google.com
Csaba Szepesvári. We are grateful for the support of Universitat Pompeu Fabra, Imperial College London, University of Alberta and Google DeepMind. › view › rltheoryseminars › about
Csaba Szepesvari - TalkRL: The Reinforcement Learning ...
www.listennotes.com
› podcasts › talkrl-the › csa...
AI Communications | IOS Press (2022)
ezflash3ds.com
Oct 12, — Csaba Szepesvári University of Alberta Canada. Carme Torras Polytechnic University of Catalonia (CSIC-UPC), Barcelona Spain. Harald Trost › article › ai-communications-ios...
Behavior of an Adaptive Self-organizing Autonomous Agent ...
journals.sagepub.com
by C Szepesvári · · Cited by 12 — ... Adaptive Self-organizing Autonomous Agent Working with Cues and Competing Concepts. Csaba Szepesvári and Andràs LórinczView all authors and affiliations. › doi › abs
Improved Algorithms for Linear Stochastic Bandits - NIPS papers
papers.nips.cc
by Y Abbasi-yadkori · · Cited by — Authors. Yasin Abbasi-yadkori, Dávid Pál, Csaba Szepesvári. Abstract. We improve the theoretical analysis and empirical performance of algorithms for the ... › paper › improved-algorith...
Online-to-Confidence-Set Conversions and Application to ...
research.google
by Y Abbasi-Yadkori · · Cited by 147 — Publications ›. Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits. Yasin Abbasi-Yadkori; Dávid Pál; Csaba Szepesvári. › pubs › pub40339
RL Theory: Home
rltheory.github.io
This is the homepage of the course CMPUT 653: Theoretical Foundations of Reinforcement Learning taught by Csaba Szepesvári at the University of Alberta in ...
Regret Bounds for the Adaptive Control of Linear Quadratic ...
proceedings.mlr.press
by Y Abbasi-Yadkori · · Cited by 307 — Regret Bounds for the Adaptive Control of Linear Quadratic Systems. Yasin Abbasi-Yadkori, Csaba Szepesvári. Proceedings of the 24th Annual Conference on ... › ...
Theory & foundations - DeepMind
www.deepmind.com
Detecting Overfitting via Adversarial Examples. Roman Werpachowski, András György, Csaba Szepesvári. arXiv Deep learning. Theory & foundations. › tags › theory-foundations
Activities - Associate Team with UAlberta
sites.google.com
In organizing this tutorial we had several discussions with Csaba Szepesvári ( from UAlbreta) and used his feedback in the organization and content of the ...
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