Adversarial Search

In this chapter we cover competitive environments , in which two or more agents have conflicting goals, giving rise to adversarial search problems. We consider games with two players turn-taking zero…

MAX wants to find a sequence of actions leading to a win, but MIN has something to say about it. This means that MAX’s strategy must be a conditional plan—a contingent strategy specifying a response…

Reduces the complexity of the minimax search by not considering branches of the game tree that cannot influence the final decision Alpha-beta pruning returns the same outcome of the “vanilla” minimax…

The basic MCTS strategy does not use a heuristic evaluation function . Instead, the value of a state is estimated as the average utility over a number of simulations of complete games starting from…

Many games include unpredictable stochastic events, like throwing of dice in backgammon We can apply an approach like minimax search using a game tree with chance nodes and expectiminimax values…