Generating diverse software versions with genetic programming: and experimental study

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Hyperparameter Selection for Imitation Learning (2021, background): “Indeed, just as the reward-engineering problem leads to policies maximizing a reward in an unexpected way (Sims, 1994; Feldt, 1998; Ecoffet et al., 2021), selecting policies on the basis of an incautiously designed metric or of a biased human judgement can lead to biased policies (Henderson et al.,…”
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (2018, neutral): “In 1997, Feldt applied digital evolution to simulations of mechanical systems to try to evolve mechanisms that safely, but rapidly, decelerate aircraft as they land on an aircraft carrier [38].”
The Oracle Problem in Software Testing: A Survey (2015, background): “More recently, Feldt [58] investigated the possibility of automatically producing different versions using genetic programming, and McMinn [127] explored the idea of producing different software versions for testing through program transformation and the swapping of different software elements with ”