Alphabeta
Two modifications are made to the agent: the minimax algorithm is optimized with alpha-beta pruning and complexity is added to the heuristic.
Two modifications are made to the agent: the minimax algorithm is optimized with alpha-beta pruning and complexity is added to the heuristic.
This is the Kaggle competition regarding Game AI and Reinforcement Learning.
This series began with an introductory DSA course that taught the common data structures used, graph algorithms, greedy algorithms, divide-and-conquer algorithms, etc.
This project was for the course AI: Search Methods for Problem Solving.
The agent follows this algorithm to decide its next move deterministically: