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  1. Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan & Demis Hassabis - 2017 - .
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    Building Machines That Learn and Think for Themselves.Matthew Botvinick, David G. T. Barrett, Peter Battaglia, Nando de Freitas, Darshan Kumaran, Joel Z. Leibo, Timothy Lillicrap, Joseph Modayil, Shakir Mohamed, Neil C. Rabinowitz, Danilo J. Rezende, Adam Santoro, Tom Schaul, Christopher Summerfield, Greg Wayne, Theophane Weber, Daan Wierstra, Shane Legg & Demis Hassabis - 2017 - Behavioral and Brain Sciences 40.
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    Is Coding a Relevant Metaphor for Building AI?Adam Santoro, Felix Hill, David Barrett, David Raposo, Matt Botvinick & Timothy Lillicrap - 2019 - Behavioral and Brain Sciences 42.
    Brette contends that the neural coding metaphor is an invalid basis for theories of what the brain does. Here, we argue that it is an insufficient guide for building an artificial intelligence that learns to accomplish short- and long-term goals in a complex, changing environment.
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