Corpus ID: 210164606

Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning

@article{Meer2020ExploitingLI,
  title={Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning},
  author={M. V. D. Meer and M. Pirotta and Elia Bruni},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.04418}
}
  • M. V. D. Meer, M. Pirotta, Elia Bruni
  • Published 2020
  • Computer Science
  • ArXiv
  • In this work, we present an alternative approach to making an agent compositional through the use of a diagnostic classifier. Because of the need for explainable agents in automated decision processes, we attempt to interpret the latent space from an RL agent to identify its current objective in a complex language instruction. Results show that the classification process causes changes in the hidden states which makes them more easily interpretable, but also causes a shift in zero-shot… CONTINUE READING

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