Skip to main content
Advertisement

< Back to Article

Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts

Fig 4

Reduced model comparison: 3-T Face/House version.

Compare to Fig 2. The next round of comparisons focused on subsets of eight models building up to constant bias and exponential hysteresis (“-CE1”). The baseline models were 2-parameter GRL (“2”) for Good and Poor learners or a random policy (“X”) for Nonlearners. The evidence for best fit with the 2CE1 model is more visibly salient here (FH-G: 2CE1, FH-P: 2CE1, FH-N: XCE1; see Fig 5 for CM-G: 2CE1, CM-P: 2CN2).

Fig 4

doi: https://doi.org/10.1371/journal.pcbi.1011950.g004