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Evolution has produced a multi-scale mosaic of interacting adaptive units.
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Indirect reciprocity can stabilize cooperation without the second-order free rider problem
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Olivier Bochet, Talbot Page, and Louis Putterman · 2006
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Institutions and the Path to the Modern Economy: Lessons from Medieval Trade
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Mastering the game of Go with deep neural networks and tree search
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Methods for empirical game-theoretic analysis
Michael P Wellman · 2006
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Jeffrey Carpenter · 2007
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Universal intelligence: A definition of machine intelligence
Shane Legg and Marcus Hutter · 2007
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The tragedy of the commons in evolutionary biology
Daniel J Rankin, Katja Bargum, and Hanna Kokko · 2007
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Rethinking the theoretical foundation of sociobiology
David Sloan Wilson and Edward O Wilson · 2007
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Potential-based shaping in model-based reinforcement learning
John Asmuth, Michael L Littman, and Robert Zinkov · 2008
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The measure of all minds: evaluating natural and artificial intelligence
José Hernández-Orallo · 2017
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A unified game-theoretic approach to multiagent reinforcement learning
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Multi-agent Reinforcement Learning in Sequential Social Dilemmas
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How the second-order free rider problem is solved in a small-scale society
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Curriculum learning in reinforcement learning
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A multi-agent reinforcement learning model of common-pool resource appropriation
Julien Perolat, Joel Z Leibo, Vinicius Zambaldi, Charles Beattie, Karl Tuyls, and Thore Graepel · 2017
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Mastering the game of go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Matthew Lai Lucas Baker, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, and Demis Hassabis · 2017
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Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O Stanley, and Jeff Clune · 2017
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Emergent complexity via multi-agent competition
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Mix and Match - Agent Curricula for Reinforcement Learning
W. M. Czarnecki, S. M. Jayakumar, M. Jaderberg, L. Hasenclever, Y. Whye Teh, S. Osindero, N. Heess, and R. Pascanu · 2018
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Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures
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Multi-task deep reinforcement learning with popart
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Inequity aversion improves cooperation in intertemporal social dilemmas
Edward Hughes, Joel Z Leibo, Matthew Phillips, Karl Tuyls, Edgar Dueñez-Guzman, Antonio García Castañeda, Iain Dunning, Tina Zhu, Kevin McKee, Raphael Koster, et al · 2018
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Max Jaderberg, Wojciech M Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio Garcia Castaneda, Charles Beattie, Neil C Rabinowitz, Ari S Morcos, Avraham Ruderman, Nicolas Sonnerat, Tim Green, Louise Deason, Joel Z. Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, and Thore Graepel · 2018
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Chess, a drosophila of reasoning
G Kasparov · 2018
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Hindcasting global population densities reveals forces enabling the origin of agriculture
Patrick H Kavanagh, Bruno Vilela, Hannah J Haynie, Ty Tuff, Matheus Lima-Ribeiro, Russell D Gray, Carlos A Botero, and Michael C Gavin · 2018
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Psychlab: a psychology laboratory for deep reinforcement learning agents
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Episodic curiosity through reachability
Nikolay Savinov, Anton Raichuk, Raphaël Marinier, Damien Vincent, Marc Pollefeys, Timothy Lillicrap, and Sylvain Gelly · 2018
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A general reinforcement learning algorithm that masters chess, shogi, and go through self-play
David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, et al · 2018
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How the evolution of multicellularity set the stage for cancer
Anna S Trigos, Richard B Pearson, Anthony T Papenfuss, and David L Goode · 2018
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A generalised method for empirical game theoretic analysis
Karl Tuyls, Julien Perolat, Marc Lanctot, Joel Z Leibo, and Thore Graepel · 2018
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Unsupervised predictive memory in a goal-directed agent
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Two types of aggression in human evolution
Richard W Wrangham · 2018
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Malthusian reinforcement learning
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