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. 2019 Jan 22;12:88. doi: 10.3389/fnbot.2018.00088

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Copyright © 2019 Yu, Chang and Kanai.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Benchmarking model variants with oracle dataset. Performances were reported in error percentage (also, see Table 2). (A) Performance as a function of time during Data Accumulation Phase (DAP). (B) Close-up on curious variants (C/B, C/PE, and PG/IRS), as well as policy gradients (PG/GR) informed by surrogate reward statistics. The C/PE and PG/IRS variants performed similarly, but differed significantly from C/B (Table 2). (C) Performance over time during post-DAP. (D) Close-up on post-DAP performances for curious variants and PG/GR.