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Using memory to accelerate planning
In both cognitive science and AI, planning research is characterized by a fundamental challenge: algorithms are costly. Consequently, much work concerns simplifying the required computations, or biasing them to more favourable regions of the solution space. One promising candidate for this is memory
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