Discussion
What does learning real time A star do?
Answer: A
LRTA star acts greedily on its current estimates and raises the estimate of a state it leaves to reflect what it found there, so the heuristic improves with experience and the agent escapes from dead ends. Repeated searching, offline learning and radius limits describe other techniques. Updating an estimate towards the value of the best successor is exactly the update rule of value iteration, which connects online search directly to reinforcement learning.
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