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  1. Article

    Open Access

    Solving puzzles using knowledge-based automation: biomimicry of human solvers

    The human brain’s remarkable efficiency in solving puzzles through pictorial information processing serves as a valuable inspiration for computational puzzle solving. In this study, we present a nucleation alg...

    Syifa Fauzia, Sean Chen, Ren-Jung Hsu, Rex Chen in Complex & Intelligent Systems (2024)

  2. No Access

    Chapter and Conference Paper

    UNSAT Solver Synthesis via Monte Carlo Forest Search

    We introduce Monte Carlo Forest Search (MCFS), a class of reinforcement learning (RL) algorithms for learning policies in tree MDPs, for which policy execution involves traversing an exponential-sized tree. Ex...

    Chris Cameron, Jason Hartford, Taylor Lundy in Integration of Constraint Programming, Art… (2024)