Reinforcement learning in professional basketball players.
Ontology highlight
ABSTRACT:
SUBMITTER: Neiman T
PROVIDER: S-EPMC3247813 | biostudies-other | 2011
REPOSITORIES: biostudies-other
Publications
Reinforcement learning in professional basketball players.
Neiman Tal T Loewenstein Yonatan Y
Nature communications 20111206
Reinforcement learning in complex natural environments is a challenging task because the agent should generalize from the outcomes of actions taken in one state of the world to future actions in different states of the world. The extent to which human experts find the proper level of generalization is unclear. Here we show, using the sequences of field goal attempts made by professional basketball players, that the outcome of even a single field goal attempt has a considerable effect on the rate ...[more]
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