Offloading AI for Peer-to-Peer Games With Dead Reckoning
Source: National University of Singapore
In this paper, the authors study the performance of an offloaded AI agent with increasing network latencies and demonstrate that dead reckoning is effective in mitigating the observed degradation. Dead reckoning refers to a class of algorithms typically employed to predict the state of objects in existing games to mitigate the effects of game lag and improve player experience. For a deployed real-time tank game, they found that increasing latencies will cause gradual degradation to the performance of an AI agent and the performance is severely degraded when latencies reach about 300 ms.