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InfoRL analysis of navigational planning in virtual reality..:
Gian Luca Lancia (13991392)
;
Mattia Eluchans (14341772)
;
Marco D'Alessandro (397205)
..
https://figshare.com/articles/figure/InfoRL_analysis_of_navigational_planning_in_virtual_reality_applied_to_data_from_33_/21833861. , 2023
Link:
https://doi.org/10.1371/journal.pcbi.1010829.g004
RT Journal T1
InfoRL analysis of navigational planning in virtual reality, applied to data from [33]
UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21833861&Exemplar=1&LAN=DE A1 Gian Luca Lancia (13991392) A1 Mattia Eluchans (14341772) A1 Marco D'Alessandro (397205) A1 Hugo J. Spiers (14341775) A1 Giovanni Pezzulo (324940) YR 2023 K1 Cell Biology K1 Neuroscience K1 Cancer K1 Science Policy K1 Mental Health K1 navigating back somewhere K1 bounded rational </ K1 virtual reality map K1 less optimal solutions K1 instruction modulate flexibly K1 div >< p K1 want (" go K1 might either retrace K1 inforl correspond closely K1 default policy ") K1 control information required K1 investing cognitive resources K1 navigation </ p K1 cognitive cost required K1 instruction find shorter K1 finding optimal shortcuts K1 default policy K1 cognitive resources K1 cognitive cost K1 virtual maze K1 shorter path K1 navigation strategies K1 finding shortcuts K1 informational cost K1 using inforl K1 two groups K1 theoretic approach K1 theoretic analysis K1 taken together K1 results illustrate K1 previous research K1 optimality refers K1 navigational strategies K1 navigational plans K1 intrinsic difficulty K1 humans account K1 g K1 firstly trained K1 different routes K1 characterize formally K1 best trade K1 ask whether JF https://figshare.com/articles/figure/InfoRL_analysis_of_navigational_planning_in_virtual_reality_applied_to_data_from_33_/21833861 LK http://dx.doi.org/https://doi.org/10.1371/journal.pcbi.1010829.g004 DO https://doi.org/10.1371/journal.pcbi.1010829.g004 SF ELIB - SuUB Bremen
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