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Learning to Win by Reading Manuals in a Monte-Carlo Framework
S.R.K. Branavan
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David Silver
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Regina Barzilay
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Paper Details:
Month: June
Year: 2011
Location: Portland, Oregon, USA
Venue:
ACL |
Citations
URL
Picking the Amateur’s Mind - Predicting Chess Player Strength from Game Annotations
Christian Scheible
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Hinrich Schütze
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Semantic Parsing on Freebase from Question-Answer Pairs
Jonathan Berant
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Andrew Chou
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Roy Frostig
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Percy Liang
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Language Understanding for Text-based Games using Deep Reinforcement Learning
Karthik Narasimhan
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Tejas Kulkarni
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Regina Barzilay
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Alignment-Based Compositional Semantics for Instruction Following
Jacob Andreas
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Dan Klein
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Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads
Ji He
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Mari Ostendorf
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Xiaodong He
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Jianshu Chen
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Jianfeng Gao
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Lihong Li
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Li Deng
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Thread Popularity Prediction and Tracking with a Permutation-invariant Model
Hou Pong Chan
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Irwin King
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Learning Dependency-Based Compositional Semantics
Percy Liang
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Michael I. Jordan
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Dan Klein
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Squib: Reproducibility in Computational Linguistics: Are We Willing to Share?
Martijn Wieling
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Josine Rawee
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Gertjan van Noord
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Learning to Relate Literal and Sentimental Descriptions of Visual Properties
Mark Yatskar
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Svitlana Volkova
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Asli Celikyilmaz
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Bill Dolan
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Luke Zettlemoyer
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Natural Language Communication with Robots
Yonatan Bisk
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Deniz Yuret
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Daniel Marcu
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Learning with Latent Language
Jacob Andreas
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Dan Klein
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Sergey Levine
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Learning High-Level Planning from Text
S.R.K. Branavan
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Nate Kushman
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Tao Lei
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Regina Barzilay
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Spice it up? Mining Refinements to Online Instructions from User Generated Content
Gregory Druck
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Bo Pang
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Lightly Supervised Learning of Procedural Dialog Systems
Svitlana Volkova
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Pallavi Choudhury
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Chris Quirk
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Bill Dolan
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Luke Zettlemoyer
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Deep Reinforcement Learning with a Natural Language Action Space
Ji He
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Jianshu Chen
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Xiaodong He
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Jianfeng Gao
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Lihong Li
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Li Deng
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Mari Ostendorf
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Which Step Do I Take First? Troubleshooting with Bayesian Models
Annie Louis
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Mirella Lapata
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Representation Learning for Grounded Spatial Reasoning
Michael Janner
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Karthik Narasimhan
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Regina Barzilay
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Automatic Generation of Situation Models for Plan Recognition Problems
Kristina Yordanova
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A Simple Model for Improving the Performance of the Stanford Parser for Action Detection in Textual Instructions
Kristina Yordanova
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Learning to Interpret Natural Language Instructions
Monica Babeş-Vroman
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James MacGlashan
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Ruoyuan Gao
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Kevin Winner
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Richard Adjogah
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Marie desJardins
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Michael Littman
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Smaranda Muresan
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http://groups.csail.mit.edu/rbg/code/civ
http://en.wikipedia.org/wiki/Civilization
http://top100.ign.com/2007/ign
http://freeciv.wikia.com
Field Of Study
Approach
Unsupervised Learning
Language
English
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