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Home » Emma Brunskill. Personal Profile of Emma Brunskill. Emma Brunskill ... Reinforcement Learning Emma Brunskill (Stanford University). Location ...
Recent Advances in Reinforcement Learning: 9th European Workshop,...
books.google.de
This book constitutes revised and selected papers of the 9th European Workshop on Reinforcement Learning, EWRL 2011, which took place in Athens, Greece in...
books.google.pl › booksRecent Advances in Reinforcement Learning: 9th European ...
books.google.pl
Edwin Bonilla Emma Brunskill Peter Dayan Carlos Diuk Alan Fern Fernando Fernandez Mohammad Ghavamzadeh Marcus Hutter Kristian Kersting Shie ...
[ ] Unifying PAC and Regret: Uniform PAC Bounds for Episodic...
arxiv.org
Title:Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning. Authors:Christoph Dann, Tor Lattimore, Emma Brunskill. (Submitted ...
Bayes-Optimal Reinforcement Learning for Discrete IFAAMAS
www.ifaamas.org
Uncertainty Domains. (Extended Abstract). Emma Brunskill. Computer Science Department. Carnegie Mellon University. Pittsburgh, PA .edu.
[ ] Sample Complexity of Multi-task Reinforcement Learning
arxiv.org
From: Emma Brunskill [view email] [v1] Thu, 26 Sep :36:00 GMT (340kb). Which authors of this paper are endorsers? | Disable MathJax ...
PAC-inspired Option Discovery in Lifelong Reinforcement Learning -...
www.microsoft.com
PAC-inspired Option Discovery in Lifelong Reinforcement Learning. Emma Brunskill and Lihong Li ... PAC-inspired Option Discovery in Lifelong Reinforcement Learning.
www.youtube.com › watchEmma Brunskill (Stanford University): "Efficient YouTube
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▶ 27:30Emma Brunskill (Stanford University): "Efficient Reinforcement Learning When Data is Costly". MIT Institute ...
Emma Brunskill (Stanford University): "Efficient Reinforcement...
www.bilibili.com
▶http://bing.com Emma Brunskill (Stanford University): "Efficient Reinforcement Learning W 字幕版之后会放出，敬请持 ...
www.youtube.com › watchStanford HAI Emma Brunskill - YouTube
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▶ 5:30Emma Brunskill (Stanford University): "Efficient Reinforcement Learning When Data is Costly" - Duration:
人本强化学习 by Emma Brunskill_哔哩哔哩 (゜-゜)つロ 干杯~-bilibili
www.bilibili.com
▶ 1:55:04http://t.cn/RQpZTHz 【人本强化学习】《Reinforcement Learning with People(NIPS
All web results to the name "Emma Brunskill"
franksworld.com › tag › emma-brunskillEmma Brunskill – Frank's World of Data Science & AI
www.franksworld.com
Professor Emma Brunskill of Stanford University talks covers the fundamentals of reinforcement learning in this second lecture of the course “Reinforcement ...
Emma Brunskill
www.cs.cmu.edu
Publications (Email me at ebrun AT cs dot cmu dot edu for any papers listed without links) Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
slideslive.com › efficient-reinforcement-learning-when-data-is-costlyEmma Brunskill | Efficient Reinforcement Learning when Data ...
slideslive.com
This workshop aims to bring together researchers from industry and academia in order to describe recent advances and discuss future ...
Inria - Regret Bounds for Reinforcement Learning with Policy Advice
hal.inria.fr
Mohammad Gheshlaghi Azar, Alessandro Lazaric, Emma Brunskill. Regret Bounds for Reinforcement Learning with Policy Advice. ECML/PKDD ...
Activities – EduBand
team.inria.fr
... “Machine Learning for Education” workshop at ICML'15 by E. Brunskill (website: http://dsp.rice.edu/ML4Ed_ICML2015); July Organization of the “European Workshop on Reinforcement Learning” at ICML'15 by A. Lazaric (website: https://ewrl.wordpress.com/ewrl ); July Visit of Emma Brunskill in Lille.
Welcome to IJCAI 2017!
ijcai-17.org
Aviv Zohar. The Hebrew University of Jerusalem. Talk: Securing and scaling cryptocurrencies. Emma Brunskill. Stanford University. Talk: Reinforcement learning for high stakes domains. Reshef Meir. Technion-Israel Institute of Technology, Faculty of Industrial Engineering and Management. Talk: Playing the Wrong Game.
Matteo Pirotta
teopir.github.io
Ronan Fruit, Matteo Pirotta, Alessandro Lazaric and Emma Brunskill: Regret Minimization in MDPs with Options without Prior Knowledge. Lifelong Learning: A Reinforcement Learning Approach, ICML Workshop, Sydney, Australia. [PDF, PDF2]; Matteo Pirotta, and Marcello Restelli: Cost-Sensitive Approach for Batch ...
PAC-inspired Option Discovery in Lifelong Reinforcement Learning
proceedings.mlr.press
PAC-inspired Option Discovery in Lifelong Reinforcement Learning. [edit]. Emma Brunskill, Lihong Li ;. Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2): ,
Research | Center for Game Science
centerforgamescience.org
Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popović. Offline Evaluation of Online Reinforcement Learning Algorithms. AAAI Conference on Artificial ...
www2.hawaii.edu › ~tmandelTravis Mandel's home page - University of Hawaii
www2.hawaii.edu
Where to Add Actions in Human-in-the-Loop Reinforcement Learning Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popović. AAAI Conference on Artificial ...
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