Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning

Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning. Sharma, S., Suresh, A., Ramesh, R., & Ravindran, B. CoRR, 2017.

Paper bibtex

@article{DBLP:journals/corr/SharmaSRR17,
  author    = {Sahil Sharma and
               Aravind Suresh and
               Rahul Ramesh and
               Balaraman Ravindran},
  title     = {Learning to Factor Policies and Action-Value Functions: Factored Action
               Space Representations for Deep Reinforcement learning},
  journal   = {CoRR},
  volume    = {abs/1705.07269},
  year      = {2017},
  url       = {http://arxiv.org/abs/1705.07269},
  archivePrefix = {arXiv},
  eprint    = {1705.07269},
  timestamp = {Wed, 07 Jun 2017 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/SharmaSRR17},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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