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Artificial agents have been shown to learn to communicate when needed to complete a cooperative task.
Asynchronous methods for deep reinforcement learning
Mnih, V., Badia, A. P., Mirza, M., Graves, A., Lillicrap, T., Harley, T., Silver, D., and Kavukcuoglu, K. (2016) · 1937
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Long short-term memory
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The emergence of compositional structures in perceptually grounded language games
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Iterated learning and the evolution of language
Kirby, S., Griffiths, T., and Smith, K. (2014) · 2014
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Compression and communication in the cultural evolution of linguistic structure
Kirby, S., Tamariz, M., Cornish, H., and Smith, K. (2015) · 2015
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Learning to communicate with deep multi-agent reinforcement learning
Foerster, J., Assael, I. A., de Freitas, N., and Whiteson, S. (2016) · 2016
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Multi-agent cooperation and the emergence of (natural) language
Lazaridou, A., Peysakhovich, A., and Baroni, M. (2016) · 2016
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Learning multiagent communication with backpropagation
Sukhbaatar, S., Fergus, R., et al. (2016) · 2016
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Analogs of linguistic structure in deep representations
Andreas, J. and Klein, D. (2017) · 2017
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Emergence of language with multi-agent games: learning to communicate with sequences of symbols
Multi-agent compositional communication learning from raw visual input
Choi, E., Lazaridou, A., and de Freitas, N. (2018) · 2018
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Emergent communication in a multi-modal, multi-step referential game
Evtimova, K., Drozdov, A., Kiela, D., and Cho, K. (2018) · 2018
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Learning policy representations in multiagent systems
Grover, A., Al-Shedivat, M., Gupta, J., Burda, Y., and Edwards, H. (2018) · 2018
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Emergence of linguistic communication from referential games with symbolic and pixel input
Lazaridou, A., Hermann, K. M., Tuyls, K., and Clark, S. (2018) · 2018
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Emergent translation in multi-agent communication
Lee, J., Cho, K., Weston, J., and Kiela, D. (2018) · 2018
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Emergence of grounded compositional language in multi-agent populations
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Havrylov, S. and Titov, I. (2017) · 2017
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Natural language does not emerge ‘naturally’ in multi-agent dialog
Kottur, S., Moura, J., Lee, S., and Batra, D. (2017) · 2017
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Multi-agent actor-critic for mixed cooperative-competitive environments
Lowe, R., Wu, Y., Tamar, A., Harb, J., Abbeel, O. P., and Mordatch, I. (2017) · 2017
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Emergence of communication in an interactive world with consistent speakers
Bogin, B., Geva, M., and Berant, J. (2018) · 2018
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Emergent communication through negotiation
Cao, K., Lazaridou, A., Lanctot, M., Leibo, J. Z., Tuyls, K., and Clark, S. (2018) · 2018
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Complex systems in language evolution: the cultural emergence of compositional structure
Smith, K., Brighton, H., and Kirby, S. (2003a)
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Iterated learning: A framework for the emergence of language
Smith, K., Kirby, S., and Brighton, H. (2003b)
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Mordatch, I. and Abbeel, P. (2018) · 2018
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Human-level performance in 3d multiplayer games with population-based reinforcement learning
Jaderberg, M., Czarnecki, W. M., Dunning, I., Marris, L., Lever, G., Castañeda, A. G., Beattie, C., Rabinowitz, N. C., Morcos, A. S., Ruderman, A., Sonnerat, N., Green, T., Deason, L., Leibo, J. Z., Silver, D., Hassabis, D., Kavukcuoglu, K., and Graepel, T. (2019) · 2019
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Social influence as intrinsic motivation for multi-agent deep reinforcement learning
Jaques, N., Lazaridou, A., Hughes, E., Gulcehre, C., Ortega, P., Strouse, D., Leibo, J. Z., and De Freitas, N. (2019) · 2019
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On the pitfalls of measuring emergent communication
Lowe, R., Foerster, J., Boureau, Y.-L., Pineau, J., and Dauphin, Y. (2019) · 2019
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