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A promising approach for teaching artificial agents to use natural language involves using human-in-the-loop training.
Emergence of Compositional Language with Deep Generational Transmission
Michael Cogswell, Jiasen Lu, Stefan Lee, Devi Parikh, and Dhruv Batra · 1904
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Mastering emergent language: learning to guide in simulated navigation
Mathijs Mul, Diane Bouchacourt, and Elia Bruni · 1908
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Convention: A philosophical study
David Lewis · 1969
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Markov games as a framework for multi-agent reinforcement learning
Michael L Littman · 1994
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Cheap talk
Joseph Farrell and Matthew Rabin · 1996
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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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Learning phrase representations using RNN encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Iterated learning and the evolution of language
Simon Kirby · 2014
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Alignment-based compositional semantics for instruction following
Jacob Andreas and Dan Klein · 2015
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Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Ioannis Alexandros Assael, Nando de Freitas, and Shimon Whiteson · 2016
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Andrei A Rusu, Sergio Gomez Colmenarejo, Caglar Gulcehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, and Raia Hadsell · 2016
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Learning multiagent communication with backpropagation
Sainbayar Sukhbaatar, Arthur Szlam, and Rob Fergus · 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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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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Deal or no deal? end-to-end learning of negotiation dialogues
Mike Lewis, Denis Yarats, Yann Dauphin, Devi Parikh, and Dhruv Batra · 2017
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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan Lowe, YI WU, Aviv Tamar, Jean Harb, OpenAI Pieter Abbeel, and Igor Mordatch · 2017
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The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison, Andriy Mnih, and Yee Whye Teh · 2017
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Emergent communication through negotiation
Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z Leibo, Karl Tuyls, and Stephen Clark · 2018
Anti-efficient encoding in emergent communication
Rahma Chaabouni, Eugene Kharitonov, Emmanuel Dupoux, and Marco Baroni · 2019
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BabyAI: First steps towards grounded language learning with a human in the loop
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, and Yoshua Bengio · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Emergent linguistic phenomena in multi-agent communication games
Laura Harding Graesser, Kyunghyun Cho, and Douwe Kiela · 2019
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Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Caglar Gulcehre, Pedro Ortega, Dj Strouse, Joel Z. Leibo, and Nando De Freitas · 2019
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Multi-agent compositional communication learning from raw visual input
Edward Choi, Angeliki Lazaridou, and Nando de Freitas · 2018
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Talk the walk: Navigating new york city through grounded dialogue
Harm de Vries, Kurt Shuster, Dhruv Batra, Devi Parikh, Jason Weston, and Douwe Kiela · 2018
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Emergent communication in a multi-modal, multi-step referential game
Katrina Evtimova, Andrew Drozdov, Douwe Kiela, and Kyunghyun Cho · 2018
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Emergence of linguistic communication from referential games with symbolic and pixel input
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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Countering language drift via visual grounding
Jason Lee, Kyunghyun Cho, and Douwe Kiela · 2019
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Learning existing social conventions via observationally augmented self-play
Adam Lerer and Alexander Peysakhovich · 2019
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Ease-of-Teaching and Language Structure from Emergent Communication
Fushan Li and Michael Bowling · 2019
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On the pitfalls of measuring emergent communication
Ryan Lowe, Jakob Foerster, Y-Lan Boureau, Joelle Pineau, and Yann Dauphin · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
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Individualized controlled continuous communication model for multiagent cooperative and competitive tasks
Amanpreet Singh, Tushar Jain, and Sainbayar Sukhbaatar · 2019
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Multi-agent communication meets natural language: Synergies between functional and structural language learning
Angeliki Lazaridou, Anna Potapenko, and Olivier Tieleman · 2020
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Capacity, bandwidth, and compositionality in emergent language learning
Cinjon Resnick*, Abhinav Gupta*, Jakob Foerster, Andrew M. Dai, and Kyunghyun Cho · 2020
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