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Ai Cheating In Rts Games



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[Submitted on 19 Sep 2018 (v1), last revised 27 Dec 2018 (this version, v3)]
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  1. In video games, artificial intelligence (AI) is used to generate responsive, adaptive or intelligent behaviors primarily in non-player characters (NPCs) similar to human-like intelligence. Artificial intelligence has been an integral part of video games since their inception in the 1950s. AI in video games is a distinct subfield and differs from academic AI.
  2. In other genres the AI can even be too good, but for RTS games, since they are so complicated and fast, AI Cheating is often helpful. One example of suitable cheating is to disobey the rule of “Fog.

The engine began integration into many new games, such as Stalker, Arma 3, and DayZ. It made a transition to a proactive cheat management system in late 2014, which is said to have “prevented most cheating from happening”. It offers easy integration into games by developers and requires a very low amount of resources.

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Abstract: Starcraft II (SC2) is widely considered as the most challenging Real TimeStrategy (RTS) game. The underlying challenges include a large observationspace, a huge (continuous and infinite) action space, partial observations,simultaneous move for all players, and long horizon delayed rewards for localdecisions. To push the frontier of AI research, Deepmind and Blizzard jointlydeveloped the StarCraft II Learning Environment (SC2LE) as a testbench ofcomplex decision making systems. SC2LE provides a few mini games such asMoveToBeacon, CollectMineralShards, and DefeatRoaches, where some AI agentshave achieved the performance level of human professional players. However, forfull games, the current AI agents are still far from achieving humanprofessional level performance. To bridge this gap, we present two full game AIagents in this paper - the AI agent TStarBot1 is based on deep reinforcementlearning over a flat action structure, and the AI agent TStarBot2 is based onhard-coded rules over a hierarchical action structure. Both TStarBot1 andTStarBot2 are able to defeat the built-in AI agents from level 1 to level 10 ina full game (1v1 Zerg-vs-Zerg game on the AbyssalReef map), noting that level8, level 9, and level 10 are cheating agents with unfair advantages such asfull vision on the whole map and resource harvest boosting. To the best of ourknowledge, this is the first public work to investigate AI agents that candefeat the built-in AI in the StarCraft II full game.

Submission history

From: Peng Sun [view email]
[v1] Wed, 19 Sep 2018 13:45:47 UTC (9,068 KB)
[v2] Fri, 2 Nov 2018 03:33:01 UTC (6,248 KB)
[v3]Thu, 27 Dec 2018 09:29:31 UTC (6,254 KB)
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DBLP - CS Bibliography

Peng Sun
Xinghai Sun
Lei Han
Jiechao Xiong
Qing Wang
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