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Compression as a universal principle of animal behavior
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Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances
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TarMAC: Targeted multi-agent communication
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Biases for emergent communication in multi-agent reinforcement learning
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Bayesian action decoder for deep multi-agent reinforcement learning
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How efficiency shapes human language
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Social influence as intrinsic motivation for multi-agent deep reinforcement learning
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EGG: a toolkit for research on emergence of language in games
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Learning to schedule communication in multi-agent reinforcement learning
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Countering language drift via visual grounding
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Ease-of-teaching and language structure from emergent communication
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Language models are unsupervised multitask learners
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The Hanabi challenge: A new frontier for AI research
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