Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies.

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Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals (2017, background): “Active exploration, and thereby forgetting of previously learned constraints and finding novel solutions, is a next step that we plan to investigate with intrinsic motivation signals mimicking curiosity [22].”
Small Sample Learning in Big Data Era (2018, methodology): “Curiosity-driven exploration system, sometimes also called intrinsic motivation system (Oudeyer et al., 2016), and recently Forestier et al. (2017) have presented intrinsically motivated goal exploration processes (IMGEP) algorithmic approach to establish unsupervised multi-goal reinforcement…”
The Influences of Emotion on Learning and Memory (2017, background): “Accordingly, SEEKING generates and sustains curiosity’s engagement for a particular purpose while also promoting learning via its mediation of anticipatory eagerness (Oudeyer et al., 2016).”
Deep Reinforcement Learning: An Overview (2017, unknown): “…RL, e.g., Finn et al. (2017) • deep symbolic RL, Garnelo et al. (2016) • intrinsic motivation, e.g., Stadie et al. (2015); Kulkarni et al. (2016); Oudeyer et al. (2016) • hyperparameter learning, e.g. Andrychowicz et al. (2016) • information extraction, e.g., Narasimhan et al. (2016) • text…”