… In this paper, we propose a behavior cloning concept for learning high-level decisions from
recorded trajectories of real traffic. We summarized and gave a clear definition of the main …

… (or cloning) of a human decision-making behavior, we show … human presence in the
decision-making. The industrial … -known human decision makers and making such models …

… We cast this problem as one of behavioral cloning, ie, given a set of state-action tuples {(si,
ai)}, the problem of learning an imitation policy becomes that of finding the parameter φ for …

… research such as decisionmaking and predicted information reasoning. Unlike explicit
behavior cloning strategies, we propose a method based on implicit behavior cloning that is not …

… However, one of the most challenging task with end-to-end deep driving models remains
explainability in decision making despite this being an open area of research in deep learning. …

… decision accuracy and safety [14]. In this work, concerning the safety of other traffic participants,
we propose a hierarchical behavior cloning … by indicating the decisionmaking window for …

… scalability and limitations of behavior cloning. We show that behavior cloning leads to state-of…
However, we confirm some limitations of the behavior cloning approach: some wellknown …

… learning environment for cognitive cloning of critical decisionmaking for Industry 4.0. The …
situations aiming to confuse the clone that learns to find decisions correctly with respect to the …

… Next, we investigate the differences between how well personas and clones agree with
player decision making styles. In the following analyses, specialized agents are omitted as they …

… The method used is behavioural cloning, where the logged data from skilled, human … such
behavioural clones, but suffered from several drawbacks, namely, that the clones were brittle …