HIGHLIGHTS
- who: Paladyn and collaborators from the (UNIVERSITY) have published the paper: Paladyn, J. Behav. Robot. 2018; 9:235-253, in the Journal: (JOURNAL) of June/29,/2018
- what: The authors propose a reinforcement learning algorithm extended with active state-specific exploration and show its applicability to child engagement maximization as well as more classical tasks such as maze navigation. The authors show that the algorithm enables to cope with both global and local non-stationarities in the state space while preserving a stable behavior in other stationary portions of the state space. At first, the . . .
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