Real-Time Heuristic Search: First Results

Book One

Volume

Proceedings of the AAAI Conference on Artificial Intelligence, 6

Automated Reasoning

Existing heuristic search algorithms are not applicable to real-time applications because they cannot commit to a move before an entire solution is found. We present a special case of minimax lookahead search to handle this problem, and an analog of alpha-beta pruning that significantly improves the efficiency of the algorithm. In addition, we present a new algorithm, called Real-Time-A*, for searching when actions must actually be executed, as opposed to merely simulated. Finally, we examine the nature of the tradeoff between computation and execution cost.