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In the recent shift towards human-centric AI, the need for machines to accurately use natural language has become increasingly important.
Emergent linguistic phenomena in multi-agent communication games
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Emergent language generalization and acquisition speed are not tied to compositionality
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Angeliki Lazaridou and Marco Baroni · 2006
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Laurens Van der Maaten and Geoffrey Hinton · 2008
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Cynthia L King · 2009
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Jeffrey Barrett and Kevin JS Zollman · 2009
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Communication and collective action: language and the evolution of human cooperation
Eric Alden Smith · 2010
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Tomasz Korbak, Julian Zubek, and Joanna Raczaszek-Leonardi · 2010
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Estimating or propagating gradients through stochastic neurons for conditional computation
Yoshua Bengio, Nicholas Léonard, and Aaron C. Courville · 2013
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The psycho-biology of language: An introduction to dynamic philology
George Kingsley Zipf · 2013
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Bringing semantics into focus using visual abstraction
C. Lawrence Zitnick and Devi Parikh · 2013
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Neural variational inference and learning in belief networks
Andriy Mnih and Karol Gregor · 2014
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Iterated learning and the evolution of language
Simon Kirby, Tom Griffiths, and Kenny Smith · 2014
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Grandmaster level in starcraft ii using multi-agent reinforcement learning
Oriol Vinyals, Igor Babuschkin, Wojciech M Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H Choi, Richard Powell, Timo Ewalds, Petko Georgiev, et al · 2019
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Wei Xu · 2019
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Mark O. Riedl · 2019
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Human-level performance in 3d multiplayer games with population-based reinforcement learning
Max Jaderberg, Wojciech M Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio Garcia Castaneda, Charles Beattie, Neil C Rabinowitz, Ari S Morcos, Avraham Ruderman, et al · 2019
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Language as an abstraction for hierarchical deep reinforcement learning
Yiding Jiang, Shixiang Shane Gu, Kevin P Murphy, and Chelsea Finn · 2019
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Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Referitgame: Referring to objects in photographs of natural scenes
Sahar Kazemzadeh, Vicente Ordonez, Mark Matten, and Tamara L. Berg · 2014
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Language as a historical product: Drift , page 157–182
Edward Sapir · 2014
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Languages adapt to their contextual niche
James Winters, Simon Kirby, and Kenny Smith · 2015
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Compression and communication in the cultural evolution of linguistic structure
Simon Kirby, Monica Tamariz, Hannah Cornish, and Kenny Smith · 2015
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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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A roadmap towards machine intelligence
Tomas Mikolov, Armand Joulin, and Marco Baroni · 2016
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Larger communities create more systematic languages
Limor Raviv, Antje Meyer, and Shiri Lev-Ari · 2019
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Ease-of-teaching and language structure from emergent communication
Fushan Li and Michael Bowling · 2019
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Modeling conceptual understanding in image reference games
Rodolfo Corona Rodriguez, Stephan Alaniz, and Zeynep Akata · 2019
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Tarmac: Targeted multi-agent communication
Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Mike Rabbat, and Joelle Pineau · 2019
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Word-order biases in deep-agent emergent communication
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Learning to teach in cooperative multiagent reinforcement learning
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, and Jonathan P How · 2019
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Social influence as intrinsic motivation for multi-agent deep reinforcement learning
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Seeded self-play for language learning
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Social robot navigation based on HRI non-verbal communication: a case study on avocado harvesting
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Measuring compositionality in representation learning
Jacob Andreas · 2019
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Miss tools and mr fruit: Emergent communication in agents learning about object affordances
Diane Bouchacourt and Marco Baroni · 2019
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On the pitfalls of measuring emergent communication
Ryan Lowe, Jakob N. Foerster, Y-Lan Boureau, Joelle Pineau, and Yann N. Dauphin · 2019
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Countering language drift via visual grounding
Jason Lee, Kyunghyun Cho, and Douwe Kiela · 2019
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
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How can we accelerate progress towards human-like linguistic generalization?
Tal Linzen · 2020
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Alex Tarnavsky Eitan, Eddie Smolyansky, Itay Knaan Harpaz, and Sahar Perets · 2020
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Negotiating team formation using deep reinforcement learning
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Entropy minimization in emergent languages
Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, and Marco Baroni · 2020
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Capacity, bandwidth, and compositionality in emergent language learning
Cinjon Resnick, Abhinav Gupta, Jakob N. Foerster, Andrew M. Dai, and Kyunghyun Cho · 2020
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Social learning theory—albert bandura
Anwar Rumjaun and Fawzia Narod · 2020
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Dialog without dialog data: Learning visual dialog agents from VQA data
Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, and Dhruv Batra · 2020
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Emergent communication pretraining for few-shot machine translation
Yaoyiran Li, Edoardo Maria Ponti, Ivan Vulic, and Anna Korhonen · 2020
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Continual adaptation for efficient machine communication
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Compositional languages emerge in a neural iterated learning model
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