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Reinforcement Learning Reward Functions in Video Games

Occurred
Dec 22, 2016
Published
Dec 22, 2016
Source
AI Incident Database

Summary

OpenAI published a post about its findings when using Universe, a software for measuring and training AI agents to conduct reinforcement learning experiments, showing that the AI agent did not act in the way intended to complete a videogame.

Developers

  • OpenAI

Deployers

  • OpenAI

Harmed parties

  • OpenAI

Classification

Category confidence: 80%
Severity confidence: 90%

Rationale: Research paper discussing RL reward function failures in video games without real-world harm.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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