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The emergence of complex life on Earth is often attributed to the arms race that ensued from a huge number of organisms all competing for finite resources.
An image synthesizer
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Computational genetics, physiology, metabolism, neural systems, learning, vision, and behavior or poly world: Life in a new context
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Neural machine translation by jointly learning to align and translate
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Emergent complexity via multi-agent competition
Bansal, T., Pachocki, J., Sidor, S., Sutskever, I., and Mordatch, I · 2017
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Open-endedness: The last grand challenge you’ve never heard of
Stanley, K. O., Lehman, J., and Soros, L · 2017
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Magent: A many-agent reinforcement learning platform for artificial collective intelligence
Zheng, L., Yang, J., Cai, H., Zhang, W., Wang, J., and Yu, Y · 2017
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Playing atari with six neurons
Cuccu, G., Togelius, J., and Cudre-Mauroux, P · 2018
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Jaderberg, M., Czarnecki, W. M., Dunning, I., Marris, L., Lever, G., Castaneda, A. G., Beattie, C., Rabinowitz, N. C., Morcos, A. S., Ruderman, A., et al · 2018
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Jaderberg, M., Dalibard, V., Osindero, S., Czarnecki, W. M., Donahue, J., Razavi, A., Vinyals, O., Green, T., Dunning, I., Simonyan, K., et al · 2017
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A unified game-theoretic approach to multiagent reinforcement learning
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Multi-agent actor-critic for mixed cooperative-competitive environments
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Emergence of grounded compositional language in multi-agent populations
Mordatch, I. and Abbeel, P · 2017
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Mean field multi-agent reinforcement learning
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A study of ai population dynamics with million-agent reinforcement learning
Yang, Y., Yu, L., Bai, Y., Wen, Y., Zhang, W., and Wang, J
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Nichol, A., Pfau, V., Hesse, C., Klimov, O., and Schulman, J · 2018
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Openai five
OpenAI · 2018
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Learning and decision-making in artificial animals
Strannegård, C., Svangård, N., Lindström, D., Bach, J., and Steunebrink, B · 2018
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