Given the title, I was kind of hoping your Pac-Man was a (reinforcement) learning agent and you were going to teach it this fairly general problem solving algorithm, which would be pretty interesting. Give a non-trivial admissible heuristic for this problem. A solution is defined to be a path that collects all of the food in the Pacman world. Challenge Walkthrough Let's walk through this sample challenge and explore the features of the code editor. Hint: StackIf you use a as your data structure, the solution found by your DFS algorithm for mediumMaze should have a length of 130 (provided you push successors onto the fringe in the order provided by getSuccessors; you might get 246 if you push them in the reverse The initial problem was to implement depth first and breadth first search algorithm’s, which the agent would use to find its goal. For the Pacman problem by contrast, the search space is exponentially large. - The Pacman board will show an overlay of the states explored, and the order in which they were explored (brighter red means earlier exploration). The code would expand nodes until the provided goal state had been reached, and then guide Pacman to goal using the determined path : Depth First Search: Source Code on Github. Beside A*, BFS, DFS and the like, what are other good path-finding algorithms/heuristics popularly used in Pacman? b. Pac-Man. Even though the maze itself is small, each possible subset of eaten food represents a … - Search algorithm is complete (finds some goal). With the help of problem-solving agent, we can automatically ﬁnd optimal paths through its maze … would have expected? If any of the ghosts hit Pac-Man, he loses a life; when all lives have been lost, the game is over. I am specifically working on question 1, in which we are suppose to implement the depth-first search algorithm (DFS) in the depthFirstSearch function in search.py. Its interface is like ﬁgure 1. Does Pacman actually go to all the explored squares on his way to the goal? Answer: Manhattan distance between Pacman and Ms. Pacman DIVIDED BY 2 (since both take a step simultaneously) c. Circle all of the following graph search methods which are guaranteed to output optimal solutions to this problem: (i) DFS … I need some good path-finding algorithms that PacMan can use to … I am working on the well-known Pacman Python project that was created at Berkeley University to explore search techniques. For this, we'll need a new search problem definition which formalizes the food-clearing problem: FoodSearchProblem in searchAgents.py (implemented for you). 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