Bayesian reinforcement learning for POMDP-based dialogue systems

@article{Png2011BayesianRL,
  title={Bayesian reinforcement learning for POMDP-based dialogue systems},
  author={ShaoWei Png and Joelle Pineau},
  journal={2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2011},
  pages={2156-2159}
}
Spoken dialogue systems are gaining popularity with improvements in speech recognition technologies. Dialogue systems can be modeled effectively using POMDPs, achieving improvements in robustness. However, past research on POMDPs-based dialogue system assumes that the model parameters are known. This limitation can be addressed through model-based Bayesian reinforcement learning, which offers a rich framework for simultaneous learning and planning. However, due to the high complexity of the… CONTINUE READING
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