Fetching the paper…
Reading the bibliography…
Text-based games (TBG) have emerged as promising environments for driving research in grounded language understanding and studying problems like generalization and sample efficiency.
Distilbert, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf · 1910
Earlier work this paper cites.
Reconstructive memory: A computer model
Janet L Kolodner · 1983
Earlier work this paper cites.
Dynamic memory: A theory of reminding and learning in computers and people
Roger C Schank · 1983
Earlier work this paper cites.
Case-based reasoning: Foundational issues, methodological variations, and system approaches
Agnar Aamodt and Enric Plaza · 1994
Earlier work this paper cites.
An introduction to natural computation
Dana H. Ballard · 2000
Earlier work this paper cites.
Enhancing text-based reinforcement learning agents with commonsense knowledge
Keerthiram Murugesan, Mattia Atzeni, Pushkar Shukla, Mrinmaya Sachan, Pavan Kapanipathi, and Kartik Talamadupula · 2005
Earlier work this paper cites.
How to avoid being eaten by a grue: Structured exploration strategies for textual worlds
Prithviraj Ammanabrolu, Ethan Tien, Matthew J. Hausknecht, and Mark O. Riedl · 2006
Earlier work this paper cites.
Dimensionality reduction by learning an invariant mapping
Raia Hadsell, Sumit Chopra, and Yann LeCun · 2006
Earlier work this paper cites.
Visualizing data using t-SNE
Laurens van der Maaten and Geoffrey Hinton · 2008
Earlier work this paper cites.
Using cases as heuristics in reinforcement learning: a transfer learning application
Luiz A Celiberto Jr, Jackson P Matsuura, Ramon Lopez De Mantaras, and Reinaldo AC Bianchi · 2011
Earlier work this paper cites.
Learning to win by reading manuals in a monte-carlo framework
SRK Branavan, David Silver, and Regina Barzilay · 2012
Earlier work this paper cites.
Estimating or propagating gradients through stochastic neurons for conditional computation
Yoshua Bengio, Nicholas Léonard, and Aaron C. Courville · 2013
Earlier work this paper cites.
Language understanding for text-based games using deep reinforcement learning
Karthik Narasimhan, Tejas Kulkarni, and Regina Barzilay · 2015
Earlier work this paper cites.
Deep reinforcement learning with a natural language action space
Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, and Mari Ostendorf · 2016
Earlier work this paper cites.
Building machines that learn and think like people
Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, and Samuel J. Gershman · 2017
Cited alongside, same era.
Translating natural language to code: An unsupervised ontology-based approach
Mattia Atzeni and Maurizio Atzori · 2018
Cited alongside, same era.
Heuristically accelerated reinforcement learning by means of case-based reasoning and transfer learning
Reinaldo AC Bianchi, Paulo E Santos, Isaac J Da Silva, Luiz A Celiberto, and Ramon Lopez de Mantaras · 2018
Cited alongside, same era.
Learning k-way d-dimensional discrete codes for compact embedding representations
Ting Chen, Martin Renqiang Min, and Yizhou Sun · 2018
Cited alongside, same era.
Textworld: A learning environment for text-based games
Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, and Adam Trischler · 2018
Cited alongside, same era.
Learning dynamic knowledge graphs to generalize on text-based games
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, and William L Hamilton · 2020
Later among the works it cites.
Graph constrained reinforcement learning for natural language action spaces
Prithviraj Ammanabrolu and Matthew Hausknecht · 2020
Later among the works it cites.
A simple approach to case-based reasoning in knowledge bases
Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, and Andrew McCallum · 2020
Later among the works it cites.
Interactive fiction game playing as multi-paragraph reading comprehension with reinforcement learning
Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, and Shiyu Chang · 2020
Later among the works it cites.
Interactive fiction games: A colossal adventure
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Open domain question answering using early fusion of knowledge bases and text
Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, and William Cohen · 2018
Cited alongside, same era.
Reinforcement Learning: An Introduction
Richard S. Sutton and Andrew G. Barto · 2018
Cited alongside, same era.
Graph attention networks
Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018
Cited alongside, same era.
Learn what not to learn: Action elimination with deep reinforcement learning
Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J Mankowitz, and Shie Mannor · 2018
Cited alongside, same era.
Ledeepchef: Deep reinforcement learning agent for families of text-based games
Leonard Adolphs and Thomas Hofmann · 2019
Cited alongside, same era.
Playing text-adventure games with graph-based deep reinforcement learning
Prithviraj Ammanabrolu and Mark Riedl · 2019
Cited alongside, same era.
Systematic generalization: What is required and can it be learned?
Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, and Aaron C. Courville · 2019
Cited alongside, same era.
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, and Xingdi Yuan · 2020
Later among the works it cites.
Infusing knowledge into the textual entailment task using graph convolutional networks
Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, and Achille Fokoue · 2020
Later among the works it cites.
Measuring compositional generalization: A comprehensive method on realistic data
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, and Olivier Bousquet · 2020
Later among the works it cites.
Knowledge graph embedding compression
Mrinmaya Sachan · 2020
Later among the works it cites.
Deep reinforcement learning with transformers for text adventure games
Yunqiu Xu, Ling Chen, Meng Fang, Yang Wang, and Chengqi Zhang · 2020
Later among the works it cites.
SQALER: Scaling question answering by decoupling multi-hop and logical reasoning
Mattia Atzeni, Jasmina Bogojeska, and Andreas Loukas · 2021
Closest in time.
A hybrid neuro-symbolic approach for text-based games using inductive logic programming
Kinjal Basu, Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Kartik Talamadupula, Tim Klinger, Murray Campbell, Mrinmaya Sachan, and Gopal Gupta · 2021
Closest in time.
Case-based reasoning for natural language queries over knowledge bases
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, and Andrew McCallum · 2021
Closest in time.
Pre-trained language models as prior knowledge for playing text-based games
Ishika Singh, Gargi Singh, and Ashutosh Modi · 2021
Closest in time.