A heuristic technique is not guaranteed to be optimal, but which is nevertheless sufficient for reaching an immediate, short-term goal, with a satisfactory solution. Examples of such: Trial and error, Rule of thumb, Educated guess, Intuitive judgment, Guesstimate, Profiling, Common sense. More concrete examples are: * Sorting and prioritizing isContinue Reading
Hybrid A* is a function that differs from A* by the fact that it is continuous but isn’t complete, that is, it can’t always find an optimal solution or a solution, but every solution that it does find is continuous and constrain-able.Continue Reading
Learns a policy which tells an agent what action to take under what circumstances. Q-learning learns a policy that is optimal in the sense that it maximizes the expected value of the total reward over any and all successive steps, starting from the current state.Continue Reading