Multi-Agent Reinforcement Learning as a Computational Tool for Language
Evolution Research: Historical Context and Future Challenges

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Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges

20 February 2020

Clément Moulin-Frier

Pierre-Yves Oudeyer

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Papers citing "Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges"

6 / 6 papers shown

Title
Reinforcement learning Florentin Wörgötter 82 2,532 0 16 May 2024
Emergent Complexity via Multi-Agent Competition Trapit Bansal J. Pachocki Szymon Sidor Ilya Sutskever Igor Mordatch 61 390 0 10 Oct 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 113 2,439 0 15 May 2017
Emergence of Grounded Compositional Language in Multi-Agent Populations Igor Mordatch Pieter Abbeel LLMAG 124 702 0 15 Mar 2017
Learning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Arthur Szlam Rob Fergus 224 1,147 0 25 May 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 152 1,610 0 21 May 2016

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