arXiv cs.AI
· Papers
Reward-Adaptive Iterative Discovery: A Case Study on Automated Game Testing for NHL26
arXiv:2607.07498v1 Announce Type: cross Abstract: Testing is a major effort for the gaming industry, requiring a significant part of development budget and people power. We present a case study on a development version of the ice hockey game EA SPORTS NHL 26, for which human playtesters test the goalie AI for behaviora