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Exploring Model-based Planning with Policy Networks


Jun 20, 2019
Tingwu Wang, Jimmy Ba

* 8 pages, 7 figures 

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Neural Graph Evolution: Towards Efficient Automatic Robot Design


Jun 12, 2019
Tingwu Wang, Yuhao Zhou, Sanja Fidler, Jimmy Ba

* ICLR 2019 

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Graph Normalizing Flows


May 30, 2019
Jenny Liu, Aviral Kumar, Jimmy Ba, Jamie Kiros, Kevin Swersky


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Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise


Apr 03, 2019
Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba


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DOM-Q-NET: Grounded RL on Structured Language


Feb 19, 2019
Sheng Jia, Jamie Kiros, Jimmy Ba

* International Conference on Learning Representations (ICLR), 2019 

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ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning


Feb 12, 2019
Harris Chan, Yuhuai Wu, Jamie Kiros, Sanja Fidler, Jimmy Ba


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Reversible Recurrent Neural Networks


Oct 25, 2018
Matthew MacKay, Paul Vicol, Jimmy Ba, Roger Grosse

* Published as a conference paper at NIPS 2018 

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On the Convergence and Robustness of Training GANs with Regularized Optimal Transport


May 22, 2018
Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn, Jason D. Lee


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Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches


Apr 02, 2018
Yeming Wen, Paul Vicol, Jimmy Ba, Dustin Tran, Roger Grosse

* Published as a conference paper at ICLR 2018 

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Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation


Aug 18, 2017
Yuhuai Wu, Elman Mansimov, Shun Liao, Roger Grosse, Jimmy Ba

* 14 pages, 9 figures; update github repo link 

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