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- W2899429596 endingPage "40" @default.
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- W2899429596 abstract "Abstract Adaptive behavior requires learning predictions of rewards and punishments, and learning actions that increase the chance or magnitude of the former and avoid the latter. This is the purview of many fields; we consider it in the context of reinforcement learning, which was spawned by behavioral psychology and artificial intelligence, but now also encompasses a wealth of findings in neuroscience. We consider the foundational algorithms of reinforcement learning, such as direct and indirect actors, temporal difference learning, ‐learning and the actor‐critic, discuss aspects of their links to sophisticated ideas from conditioning, and hint at the geography of the main aspects of the terrain that is currently being explored." @default.
- W2899429596 created "2018-11-09" @default.
- W2899429596 creator A5025886486 @default.
- W2899429596 creator A5075063030 @default.
- W2899429596 date "2018-03-23" @default.
- W2899429596 modified "2023-10-12" @default.
- W2899429596 title "Models and Methods for Reinforcement Learning" @default.
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