• Corpus ID: 245424738

Direct Behavior Specification via Constrained Reinforcement Learning

@article{Roy2022DirectBS,
  title={Direct Behavior Specification via Constrained Reinforcement Learning},
  author={Julien Roy and Roger Girgis and Joshua Romoff and Pierre-Luc Bacon and Christopher Joseph Pal},
  journal={ArXiv},
  year={2022},
  volume={abs/2112.12228}
}
The standard formulation of Reinforcement Learning lacks a practical way of specifying what are admissible and forbidden behaviors. Most often, practitioners go about the task of behavior specification by manually engineering the reward function, a counter-intuitive process that requires several iterations and is prone to reward hacking by the agent. In this work, we argue that constrained RL, which has almost exclusively been used for safe RL, also has the potential to significantly reduce the… 

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