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On the Use of Reinforcement Learning for Testing Game Mechanics

On the Use of Reinforcement Learning for Testing Game Mechanics

Researchers in artificial intelligence routinely use simulated environments as benchmarks for testing algorithms. We propose that this paradigm could be flipped whereby reinforcement learning “reward hacking” could provide a mechanism for testing game mechanics. Numerous literature examples demonstrate game exploits and implementation problems that have been discovered through optimization based ... Read More »

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