How can I improve my Minimax algorithm?

Minimax Improvements

1. Irrelevant Moves. In some zero-sum games, there are moves that can be skipped in the Minimax process.
2. Limit the Number of Moves Checked.
3. Detect Forced Moves.
4. Alpha-Beta Pruning.
5. Game-Specific Algorithms.
6. Double-check your Code!

Which method is used for optimizing a Minimax based game?

Therefore, the algorithm can be optimized in such a way which is called alpha-beta pruning. Heuristic function is used in Minimax for evaluation of the current situation of the game. The final decision made by Minimax largely depends on how well the heuristic function is.

How does Minimax traverse the game tree?

The minimax algorithm moves through the tree using depth-first search. Meaning it traverses through the tree going from left to right, and always going the deepest it can go. It then discovers values that must be assigned to nodes directly above it, without ever looking at other branches of the tree.

Which search method is used in Minimax algorithm?

Mini-Max algorithm uses recursion to search through the game-tree. Min-Max algorithm is mostly used for game playing in AI.

How Alpha Beta pruning can improve MIN MAX algorithm?

Alpha-Beta pruning is not actually a new algorithm, rather an optimization technique for minimax algorithm. It reduces the computation time by a huge factor. This allows us to search much faster and even go into deeper levels in the game tree.

How do you evaluate the minimax algorithm?

3 Answers. The most basic minimax evaluates only leaf nodes, marking wins, losses and draws, and backs those values up the tree to determine the intermediate node values. In the case that the game tree is intractable, you need to use a cutoff depth as an additional parameter to your minimax functions.

How do you get a Maximin strategy?

Maximin Strategy = A strategy that maximizes the minimum payoff for one player. The maximin, or safety first, strategy can be found by identifying the worst possible outcome for each strategy. Then, choose the strategy where the lowest payoff is the highest.

Which algorithm is used in the game tree to make decisions of win lose?

Min/Max algorithm
10) Which algorithm is used in the Game tree to make decisions of Win/Lose? Explanation: A game tree is a directed graph whose nodes represent the positions in Game and edges represent the moves. To make any decision, the game tree uses the Min/Max algorithm.

Why we need α β pruning in game theory?

The benefit of alpha–beta pruning lies in the fact that branches of the search tree can be eliminated. This way, the search time can be limited to the ‘more promising’ subtree, and a deeper search can be performed in the same time. Like its predecessor, it belongs to the branch and bound class of algorithms.

Is pruning possible in a max tree?

Only some max” game trees can be pruned using established techniques such as shallow prun- ing |Korf, I991| and alpha-beta branch-and-bound pruning [Sturtevant and Korf, 2000|. In two-player games, however, pruning is only dependant on the node ordering in the tree.

How can Alpha Beta pruning be improved?

Here are some options to reduce the best move search time:

1. Reduce depth of search.
2. Weed out redundant moves from the possible moves.
3. Use multi-threading in the first ply to gain speed.

How can minimax also be extended for game of chance?

This can be extended if we can supply a heuristic evaluation function which gives values to non-final game states without considering all possible following complete sequences. We can then limit the minimax algorithm to look only at a certain number of moves ahead.

What is minimax algorithm?

Minimax is a kind of backtracking algorithm that is used in decision making and game theory to find the optimal move for a player, assuming that your opponent also plays optimally. It is widely used in two player turn-based games such as Tic-Tac-Toe, Backgammon, Mancala, Chess, etc.

How does minimax find the optimal Winning Moves?

To find an optimal winning move; minimax needs only to search until a winning state of the game has been found. If implemented using the aforementioned breadth first search minimax algorithm, it will have found the way to win in the least amount of moves. In the case where min has a forced win the truly optimal move doesn’t exist.

What is minimax in backgammon?

Minimax is a kind of backtracking algorithm that is used in decision making and game theory to find the optimal move for a player, assuming that your opponent also plays optimally. It is widely used in two player turn-based games such as Tic-Tac-Toe, Backgammon, Mancala, Chess, etc. In Minimax the two players are called maximizer and minimizer.

What is the time complexity of min-max algorithm?

Time complexity-As it performs DFS for the game-tree, so the time complexity of Min-Max algorithm is O(b m), where b is branching factor of the game-tree, and m is the maximum depth of the tree. Space Complexity-Space complexity of Mini-max algorithm is also similar to DFS which is O(bm). Limitation of the minimax Algorithm: