On games and simulators as a platform for development of artificial intelligence for command and control
원문 초록
Games and simulators can be a valuable platform to execute complex multi-agent, multiplayer, imperfect information scenarios with significant parallels to military applications: multiple participants manage resources and make decisions that command assets to secure specific areas of a map or neutralize opposing forces. These characteristics have attracted the artificial intelligence (AI) community by supporting development of algorithms with complex benchmarks and the capability to rapidly iterate over new ideas. The success of artificial intelligence algorithms in real-time strategy games such as StarCraft II have also attracted the attention of the military research community aiming to explore similar techniques in military counterpart scenarios. Aiming to bridge the connection between games and military applications, this work discusses past and current efforts on how games and simulators, together with the artificial intelligence algorithms, have been adapted to simulate certain aspects of military missions and how they might impact the future battlefield. This paper also investigates how advances in virtual reality and visual augmentation systems open new possibilities in human interfaces with gaming platforms and their military parallels.
함께 살펴볼 논문
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Gym-$μ$RTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning
The StarCraft Multi-Agent Challenge
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games
MSC: A Dataset for Macro-Management in StarCraft II
StarCraft II: A New Challenge for Reinforcement Learning
토론
이 논문과 연결된 포럼 글이 아직 없습니다.