RAID finds multiple diverse game exploits by sequentially training RL agents and masking previously discovered strategies from the reward function.
Automated play-testing through rl based human-like play-styles generation,
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Reward-Adaptive Iterative Discovery: A Case Study on Automated Game Testing for NHL26
RAID finds multiple diverse game exploits by sequentially training RL agents and masking previously discovered strategies from the reward function.