文章基本信息

标题：A micro-genesis account of longer-form reinforcement learning in structured and unstructured environments
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作者：Benjamin James Dyson ; Ahad Asad
期刊名称：npj Science of Learning
电子版ISSN：2056-7936
出版年度：2021
卷号：6
DOI：10.1038/s41539-021-00098-4
语种：English
出版社：Springer Nature
摘要：We explored the possibility that in order for longer-form expressions of reinforcement learning ( win-calmness, loss-restlessness) to manifest across tasks, they must first develop because of micro-transactions within tasks. We found no evidence of win-calmness or loss-restlessness when wins could not be maximised ( unexploitable opponents), nor when the threat of win minimisation was presented ( exploiting opponents), but evidence of win-calmness (but not loss-restlessness) when wins could be maximised ( exploitable opponents).