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Search options not deleted user 15541

For questions related to the (automated) planning problem, which is the problem of finding a plan, i.e. a sequence of actions to move from an initial state to a goal state or a policy (a function from states to actions), and planning algorithms. There are different ways to define a planning problem (such as PDDL) and solve a planning problem (e.g. GraphPlan). In reinforcement learning, planning consists in finding a policy that solves an MDP.

0 votes

Can PDDL be utilized for action recognition?

This is theoretically possible for an exhaustive set of sequential, non-concurrent primitive actions: $$ \forall s_1, s_2 \left( \exists a \left( \text{possible}(a, s_1) \land \text{do}(a, s_1, s_2) …
Paul Brown's user avatar
2 votes

How to transform a PDDL to search?

Not all search is planning (is A connected to B), but all planning is search (how do I get from this to that). …
Paul Brown's user avatar