You have a ebnf grammar constrained to evade, land, search etc. Quite literally what's the difference between the log probs between those options and whatever number a very tiny model is coming up for the confidence.
You have a ebnf grammar constrained to evade, land, search etc. Quite literally what's the difference between the log probs between those options and whatever number a very tiny model is coming up for the confidence.
Both use the softmax operation, but "probability of emitting a given label" is not the same as "probability the decided action is correct". OTOH, taking an action to sample something to come up with "probability of emitting a label" is in fact the whole shebang if the label is the next action. If it works it works.
Who cares, this distinction is small.
For me, a planning guy, either your suggestion or Jev-like would work just fine, and you better believe I'll be testing both as I'm quite excited about being able to use less-structured, untrained systems in decision pipelines. Thanks for the heads up.