• Corpus ID: 249954130

Goal Misgeneralization in Deep Reinforcement Learning

@inproceedings{Langosco2021GoalMI,
  title={Goal Misgeneralization in Deep Reinforcement Learning},
  author={Lauro Langosco and Jack Koch and Lee D. Sharkey and Jacob Pfau and David Krueger},
  booktitle={International Conference on Machine Learning},
  year={2021}
}
We study goal misgeneralization , a type of out-of-distribution generalization failure in reinforcement learning (RL). Goal misgeneralization occurs when an RL agent retains its capabilities out-of-distribution yet pursues the wrong goal. For instance, an agent might continue to competently avoid obstacles, but navigate to the wrong place. In contrast, previous works have typically focused on capability generalization failures, where an agent fails to do anything sensible at test time. We… 

The alignment problem from a deep learning perspective

Within the coming decades

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