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The Cartographer
Monte Carlo Tree Search Based Tactical Maneuvering
September 13, 2020 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Kunal Srivastava, Amit Surana
arXiv ID
2009.08807
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LG,
cs.MA,
cs.RO
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In this paper we explore the application of simultaneous move Monte Carlo Tree Search (MCTS) based online framework for tactical maneuvering between two unmanned aircrafts. Compared to other techniques, MCTS enables efficient search over long horizons and uses self-play to select best maneuver in the current state while accounting for the opponent aircraft tactics. We explore different algorithmic choices in MCTS and demonstrate the framework numerically in a simulated 2D tactical maneuvering application.
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