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  The Consilience of Neural and Artificial Reinforcement Learning

Dayan, P. (2017). The Consilience of Neural and Artificial Reinforcement Learning. Talk presented at Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). San Francisco, CA, USA. 2017-02-04 - 2017-02-09.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-E821-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-E822-1
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http://www.aaai.org/Conferences/AAAI/2017/aaai17speakers.php (Abstract)
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Dayan, P1, Author           
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 Abstract: Animals that fail to predict or control events associated with rewards and punishments are not long for this world. Reinforcement learning thus offers a body of theory that organizes and motivates a huge wealth of work in psychology and neuroscience. Equally, these latter disciplines provide inspiration for new methods, ideas and problems in the wider field of reinforcement learning. I will discuss this consilience, illustrating the fecundity of the approaches and some of the challenges and opportunities ahead.

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 Dates: 2017-02
 Publication Status: Published online
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Title: Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17)
Place of Event: San Francisco, CA, USA
Start-/End Date: 2017-02-04 - 2017-02-09
Invited: Yes

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