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Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning

2017

Conference Paper

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Author(s): Gu, S. and Lillicrap, T. and Turner, R. E. and Ghahramani, Z. and Schölkopf, B. and Levine, S.
Book Title: Advances in Neural Information Processing Systems 30
Pages: 3849--3858
Year: 2017
Editors: I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett
Publisher: Curran Associates, Inc.

Department(s): Empirical Inference
Bibtex Type: Conference Paper (conference)

Event Name: 31th Annual Conference on Neural Information Processing Systems (NIPS 2017)
Event Place: Long Beach, CA, USA
State: Published
URL: http://papers.nips.cc/paper/6974-interpolated-policy-gradient-merging-on-policy-and-off-policy-gradient-estimation-for-deep-reinforcement-learning.pdf

BibTex

@conference{Guetal17,
  title = {Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning},
  author = {Gu, S. and Lillicrap, T. and Turner, R. E. and Ghahramani, Z. and Sch{\"o}lkopf, B. and Levine, S.},
  booktitle = {Advances in Neural Information Processing Systems 30},
  pages = {3849--3858},
  editors = {I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett},
  publisher = {Curran Associates, Inc.},
  year = {2017},
  url = {http://papers.nips.cc/paper/6974-interpolated-policy-gradient-merging-on-policy-and-off-policy-gradient-estimation-for-deep-reinforcement-learning.pdf}
}