Figure 4
From: Exploring Feature Dimensions to Learn a New Policy in an Uninformed Reinforcement Learning Task
Value Transfer Learning Model. (a) Value transfer learning model with policy changes. (b,c,d) Learning based on previously learned state-action values, (b) Increasing feature dimensionality case, (c) Decreasing feature dimensionality case, (d) Policy transition without a change in feature dimensionality. (e) Model comparison between the zero initialised and learned value initialised model (paired t-test, mean ± SEM, *p < 0.05). (f) Model comparison between softmax function-based policy search model and inferred value transfer learning model (paired t-test, mean ± SEM, **p < 0.01, ***p < 0.001). (g) Model comparison between policy seven with noise model and learned value initialised model (paired t-test, mean ± SEM). Yellow, zero initialised model; orange, learned value initialised model; green, sofmax function-based policy search model; grey, policy seven with noise model.
