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About RTS AI Problems and Techniques
This document discusses challenges and techniques for developing artificial intelligence for real-time strategy (RTS) games. It begins by defining RTS games and noting how they differ from turn-based games like chess in allowing simultaneous moves, durative actions, partial observability, and nondeterminism. It then highlights StarCraft as a standard testbed for RTS AI and describes the immense complexity of its state space. The document outlines six main challenge areas for RTS AI: planning under uncertainty, resource management, spatial and temporal reasoning, learning, modeling opponents, and exploiting domain knowledge. It argues that standard planning techniques cannot be directly applied to RTS games due to their scale.
Detailed Information
| Author: | ['Socrate Alex'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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