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Hacks and Optimizations
Some strategies that we might want to consider for the final performance figures, in no particular order:
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Whether to use a naive successor generation strategy or the match-tree strategy.
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We might want not to pass those nodes having e.g. novelty w_{#g}=1 through the novelty-two tables. This changes the search, of course, since we'll have more nodes with novelty 2 to expand, but might prove beneficial, esp. when only a handful of novelty-2 expansions are needed?
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When using simulations with propositional domains, we'll want to test whether it's better or not to consider "negative" propositions.
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Implement a parameter similar to M in H&N ICAPS'17 paper:
In the resulting algorithm, up to M nodes with novelty w = w #g,#r greater than k are allowed for each combination of values for the functions #g and #r (instead of 1).
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