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== Epsilon-greedy open list ==
Chooses an entry uniformly randomly with probability 'epsilon', otherwise it returns the minimum entry.
{{{
epsilon_greedy(eval, pref_only=false, epsilon=0.2)
}}}


 * ''eval'' ([[Doc/ScalarEvaluator|ScalarEvaluator]]): scalar evaluator
 * ''pref_only'' (bool): insert only nodes generated by preferred operators
 * ''epsilon'' (double [0.0, 1.0]): probability for choosing the next entry randomly

Alternation open list

alternates between several open lists.

alt(sublists, boost=0)
  • sublists (list of OpenList): open lists between which this one alternates

  • boost (int): boost value for contained open lists that are restricted to preferred successors

Epsilon-greedy open list

Chooses an entry uniformly randomly with probability 'epsilon', otherwise it returns the minimum entry.

epsilon_greedy(eval, pref_only=false, epsilon=0.2)
  • eval (ScalarEvaluator): scalar evaluator

  • pref_only (bool): insert only nodes generated by preferred operators

  • epsilon (double [0.0, 1.0]): probability for choosing the next entry randomly

Pareto open list

Selects one of the Pareto-optimal (regarding the sub-evaluators) entries for removal.

pareto(evals, pref_only=false, state_uniform_selection=false)
  • evals (list of ScalarEvaluator): scalar evaluators

  • pref_only (bool): insert only nodes generated by preferred operators

  • state_uniform_selection (bool): When removing an entry, we select a non-dominated bucket and return its oldest entry. If this option is false, we select uniformly from the non-dominated buckets; if the option is true, we weight the buckets with the number of entries.

Standard open list

Standard open list that uses a single evaluator

single(eval, pref_only=false)
  • eval (ScalarEvaluator): scalar evaluator

  • pref_only (bool): insert only nodes generated by preferred operators

Bucket-based open list

Bucket-based open list implementation that uses a single evaluator. Ties are broken in FIFO order.

single_buckets(eval, pref_only=false)
  • eval (ScalarEvaluator): scalar evaluator

  • pref_only (bool): insert only nodes generated by preferred operators

Tie-breaking open list

tiebreaking(evals, pref_only=false, unsafe_pruning=true)
  • evals (list of ScalarEvaluator): scalar evaluators

  • pref_only (bool): insert only nodes generated by preferred operators

  • unsafe_pruning (bool): allow unsafe pruning when the main evaluator regards a state a dead end

FastDownward: Doc/OpenList (last edited 2019-03-08 12:08:33 by XmlRpcBot)