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Referential games and reconstruction games are the most common game types for studying emergent languages.
Philosophical investigations
Ludwig Wittgenstein · 1954
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Complex systems in language evolution: the cultural emergence of compositional structure
Kenny Smith, Henry Brighton, and Simon Kirby · 2003
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Understanding linguistic evolution by visualizing the emergence of topographic mappings
Henry Brighton and Simon Kirby · 2006
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Convention: A philosophical study
David Lewis · 2008
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Linguistic structure is an evolutionary trade-off between simplicity and expressivity
Kenny Smith, Monica Tamariz, and Simon Kirby · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Language understanding for text-based games using deep reinforcement learning
Karthik Narasimhan, Tejas Kulkarni, and Regina Barzilay · 2015
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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel · 2016
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Mastering the game of go with deep neural networks and tree search
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et al · 2016
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Emergence of language with multi-agent games: Learning to communicate with sequences of symbols
Serhii Havrylov and Ivan Titov · 2017
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Grounded language learning in a simulated 3d world
Karl Moritz Hermann, Felix Hill, Simon Green, Fumin Wang, Ryan Faulkner, Hubert Soyer, David Szepesvari, Wojciech Marian Czarnecki, Max Jaderberg, Denis Teplyashin, et al · 2017
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Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole · 2017
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Natural language does not emerge ‘naturally’in multi-agent dialog
Satwik Kottur, José Moura, Stefan Lee, and Dhruv Batra · 2017
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Multi-agent cooperation and the emergence of (natural) language
Angeliki Lazaridou, Alexander Peysakhovich, and Marco Baroni · 2017
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dsprites: Disentanglement testing sprites dataset
Loic Matthey, Irina Higgins, Demis Hassabis, and Alexander Lerchner · 2017
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Emergence of numeric concepts in multi-agent autonomous communication
Shangmin Guo · 2019
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EGG: a toolkit for research on Emergence of lanGuage in Games
Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, and Marco Baroni · 2019
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Ease-of-teaching and language structure from emergent communication
Fushan Li and Michael Bowling · 2019
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A survey of reinforcement learning informed by natural language
Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, and Tim Rocktäschel · 2019
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Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, and Stephen Clark · 2018
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Emergent translation in multi-agent communication
Jason Lee, Kyunghyun Cho, Jason Weston, and Douwe Kiela · 2018
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Emergence of grounded compositional language in multi-agent populations
Igor Mordatch and Pieter Abbeel · 2018
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Measuring compositionality in representation learning
Jacob Andreas · 2019
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Emergence of compositional language with deep generational transmission
Michael Cogswell, Jiasen Lu, Stefan Lee, Devi Parikh, and Dhruv Batra · 2019
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Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt, Emmanuel Dupoux, and Marco Baroni · 2020
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The emergence of compositional languages for numeric concepts through iterated learning in neural agents
Shangmin Guo, Yi Ren, Serhii Havrylov, Stella Frank, Ivan Titov, and Kenny Smith · 2020
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Analyzing structural priors in multi-agent communication
Abhinav Gupta, Agnieszka Słowik, William L Hamilton, Mateja Jamnik, Sean B Holden, and Christopher Pal · 2020
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Compositional languages emerge in a neural iterated learning model
Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B Cohen, and Simon Kirby · 2020
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Exploring structural inductive biases in emergent communication, 2020
Agnieszka Słowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, and Christopher Pal · 2020
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